Hi I`m Aakash. A seasoned Analytics Lead and Data Professional with over 8 years at Nagarro, currently a Staff Consultant. Proven expertise in building and leading data initiatives, particularly in enterprise data integration on Microsoft Azure Data Lake and leveraging Python for automation. Successfully transitioned organizations from data silos to centralized, data-driven environments, managing large-scale reporting and contributing to strategic decision-making with CXOs.
- Breaking Down Data Silos: Enterprise Data Automation with Python on Azure
Aarti Jha is a Senior Data Scientist at Red Hat, where she develops AI-driven solutions to streamline internal processes and reduce operational costs. She brings over 6.5 years of experience in building and deploying data science and machine learning solutions across industry domains.
- Mastering Prompts with Feedback and Pydantic
I’m a Software Maintenance Engineer with a focus on quantization and fine-tuning large language models (LLMs). I work with tools and frameworks like vLLM, LLM Compressor, InstructLab, and RHEL AI to optimize and maintain high-performance AI systems.
My work revolves around making LLMs more efficient, scalable, and adaptable for real-world use cases—whether it’s reducing inference costs, enhancing model alignment, or supporting enterprise-grade AI deployments.
- Green AI at Scale: Energy-Efficient LLM Serving using vLLM & LLM Compressor
Abhik Sarkar is an experienced Python Machine Learning Engineer with over eight years of expertise in scalable, intelligent solutions. He currently leads the Machine Learning department at a high-growth startup specializing in computer vision technologies for safety and security.
- ArryPy: Array You Fast Enough?
A mechanical engineer by training, I am now a software developer based in India, currently working as a project staff at IIT Bombay, Mumbai. I have been a contributor to FreeCAD since 2016.
In FreeCAD, my focus has been mostly in the 2D constrained drawing workbench “Sketcher”, as well as the underlying solver “planegcs”. In further detail, my interest has been in adding support for general curved geometry.
- Reviving, Modernizing, and Packaging Unmaintained Code
Hi, I’m Allen! I’m a Product Engineer at UST, where I build GraphQL APIs for Python-based microservices that work closely with MongoDB. I’m passionate about using technology to solve real-world problems and love helping my teammates and peers grow along the way. I’ve spoken at the Trivandrum Python Meetup and have the exciting opportunity to speak at both PyCascades 2025 and the FOSSASIA Summit 2025 in Bangkok, where I’ll be sharing my experience in Python development and API design.
- From Stress to Success: Load Testing Python Apps & Visualizing Performance
About the Speaker
Aman Kumar Pandey is a Data Scientist specializing in NLP, Recommender Systems, and Applied AI, with 6+ years of experience across diverse industries.He has developed large-scale recommendation engines, fine-tuned LLMs, and worked on model monitoring, explainable AI, and multilingual NLP solutions.
Currently working at Pratilipi building Recommendation system at scale.
His work spans industry and conservation tech, using AI for wildlife monitoring via computer vision and deep learning. Passionate about open science and AI for social impact, he collaborates with researchers and NGOs to drive real-world innovation.
- Portfolio: https://aman5319.github.io/portfolio/
- Blogs: https://aman5319.github.io/portfolio/tech_blogs/
- LinkedIn: https://www.linkedin.com/in/aman5319/
- GitHub: https://github.com/aman5319
- Dating, Dining, and Doomscrolling: The Algorithms Behind Modern Choice
Anand has been crafting beautiful software since two decades. He has strong product development experience with deep insights in system design, scalability, and developer experience. He has co-authored web.py, a micro web framework in Python, built Open Library at the Internet Archive, created a machine learning platform at Rorodata, trained hundreds of engineers through his deep-dive courses.
- [Panel] Vibe Coding: Yay or Nay?
- Building AI Apps That Don't Break: Architecture Lessons from HappyFox
Anand is an LLM psychologist at Straive. (It's not an official title. He just calls himself that.) He co-founded Gramener, a data science company that narrates visual data stories, which Straive acquired. He is considered one of India's top 10 data scientists and is a regular TEDx/PyCon speaker.
Anand is a gold medalist at IIM Bangalore and an alumnus of IIT Madras, London Business School, IBM, Infosys, Lehman Brothers, and BCG.
More importantly, he has hand-transcribed every Calvin & Hobbes strip ever and dreams of watching every film on the IMDb Top 250.
- DuckDB is the New Pandas
- [Panel] Vibe Coding: Yay or Nay?
I am a technologist who enjoys finding and solving problems. I believe that Hardware, Software, Backend, Frontend are all abstractions and one should not limit your scope to just a small vertical
I have around 14 years of experience dabbling with various types of techstack
- Python and Music: Building a Music Tutor
Aniket Kulkarni is the founder of Curlscape, where he helps businesses bring practical AI applications to life fast. He has led the design and deployment of large-scale systems across industries, from finance and healthcare to education and logistics. His work spans LLM-based information extraction, agentic workflows, voice assistants, and continuous evaluation frameworks. An engineer at heart, Aniket blends deep technical expertise with a product mindset to build AI that’s both reliable and usable.
- Axolotl on a Budget: Fine-Tuning 70B-parameter LLMs
With over a decade in Data and Decision Sciences, I design NLP and AI solutions that solve complex business challenges. Currently a Data Scientist at Red Hat and former researcher at Tata Research Development and Design Center, I have presented research at premier conferences and hold patents, advancing AI-driven innovations. Explore my Google Scholar page -https://scholar.google.com/citations?user=5GCQcVkAAAAJ&hl=en&oi=ao
- Green AI at Scale: Energy-Efficient LLM Serving using vLLM & LLM Compressor
- [Panel] Vibe Coding: Yay or Nay?
Developer working at the intersection of DevOps, machine reliability, and system observability using Python to bridge logic and low-level performance.
- ArryPy: Array You Fast Enough?
Archit Singh is a Senior Software Engineer at Abnormal AI, with 8+ years of experience building high-concurrency systems, distributed infrastructure, and GenAI-powered pipelines. He has led the development of scalable, memory-aware LLM agent platforms and stateful execution layers for copilots and multi-agent workflows. His work focuses on bridging cognitive architectures with production-grade infrastructure, turning stateless AI chains into systems that remember, reflect, and evolve.
- Memory is the Agent: Architecting Stateful Reasoning
- Understanding Plugin Architecture for Python Packages
Astha Yadav is a Senior Developer Relations Advocate at Algorand Foundation with over six years of experience in blockchain innovation, smart contract development, and zero-knowledge proofs. She works closely with global developer communities, empowering builders to create scalable, secure, and user-friendly decentralized applications. With a strong technical background and passion for developer experience, Astha bridges cutting-edge research with practical implementation.
- Algorand Python: Next-Gen Smart Contracts Made Simple
- Building AI Apps That Don't Break: Architecture Lessons from HappyFox
https://geeksocket.in
- All Editors/IDEs Unite??
SDE 1 @Zelthy | Django core contributor | DSF member | GSoC'23 mentee , GSoC'24 mentor @Django
- The Anatomy of Django Migrations
Charan Teja C S
AI/ML Engineer, OSI Digital
Currently designing and building Python FastAPI backends and AI/ML-driven solutions, Charan is a language-independent developer who tackles problems with a fundamentals-first mindset.
A graduate of Osmania University (B.E. CSE), he’s active in competitive programming and, during an internship, developed a face-recognition module.
His academic capstone—a FastAPI-powered robotic greenhouse monitor using ML for leaf-disease detection—demonstrated his full-stack and AI expertise.
At OSI Digital, Charan has delivered 2 highly praised chatbots (HR policy and website inquiry), holds AWS certifications with Docker deployment experience, and continues to deepen his strengths in AI/ML and cloud computing.
- RAGs to Riches: Efficient WebChatbot with Async Scraping & Hybrid Re-Ranking
I’m Dhruv Manilawala, working at Astral, the company behind Ruff, ty, uv.
- Astral’s static analysis tools: Ruff, ty, language server
Farhaan Bukhsh is an open-source contributor, Pythonista and now a newbie rustacean. With a background in cloud infrastructure and platform engineering, Farhaan has contributed extensively to projects like Fedora and Open edX, where he is a core committer and current release manager. He's passionate about bridging the performance gap between Python and system-level programming, recently exploring the power of Rust to accelerate machine learning workflows. When he's not writing code, Farhaan enjoys mentoring new contributors, organizing tech communities, and brewing the perfect pour-over coffee.
- Rust and Wasm in Python ecospace.
- Compiling Python to WASM
Gaurav Trivedi is a Principal Technical Writer specializing in developer-focused content, API documentation, and AI-assisted editorial tools. He is currently building AI-powered systems that enforce style guide rules through fine-tuned language models. Gaurav is passionate about simplifying complex ideas and frequently speaks about the intersection of technical writing, AI, and automation.
- RapidDoc - A Rule-Based Fine-Tuned Model for Enforcing Style Guide Rules
Hi! I am Heer, a 17-year-old self taught python developer and an applied AI developer. I am currently pursuing a diploma in computer engineering from Parul University and a micromasters in data science and statistics from MITx
- 'Hope, Hesitation and Hello World' : A Girl's Path from Confusion to Clarity
Graduate in Economics and Informatics from the Bucharest University of Economic Studies. Tech enthusiast, fascinated by gadgets and people alike. I also make cover videos for fun.
Tech@Scaleforce | Building AI Automated Workflows and Intelligent Agents | Cloud Applications Developer
Github: https://github.com/indroneelray
- Quickly spinning up agents with AWS Strands Agent SDK
Ivan Blinkov is a seasoned technical leader specializing in data storage and processing. Over the last decade, he was involved in the development of several database management systems, two of which are open-source: ClickHouse in the past and, currently, YDB.
- Implementing an MCP Server for DBMS in Python — YDB’s Experience
Jayesh loves exploring new technologies and putting them to work to solve real-world problems. He adapts very quickly to emerging frameworks or languages and plans his days to maintain a balance between sports, literary works, and coding. Jayesh enjoys speaking in public and interacting with people with different experiences than his own.
- Lessons From The Trenches: Building Rube
maintainer from Ragas
- Ragas: Supercharge Your LLM Application Evaluations
Jithu is an Associate Product Architect at KeyValue Software Systems, based in Kerala. He works primarily on backend systems, with experience in both enterprise environments and freelance projects. With experience spanning ERP systems to modern cloud-native applications, he focuses on building scalable, maintainable systems using Python, Go, and related technologies. Jithu values clean architecture, practical design, and developer ergonomics.
- Memory Management in Python: Foundations, Problems, and Modern Techniques
Kalyan is a Lead Data scientist with a background as a former data science and analytics manager, effectively balancing both academia and industry. He has presented talks at various PyCon's, Data Science and AI conferences, showcasing his expertise. As a community leader, Kalyan currently serves as the one of the Chair for PyConf Hyderabad 2025 and has held the role of Co-chair for PyCon India 2023 and PyConf Hyderabad from 2022 to 2024. In addition to these leadership positions, he is an active contributor to numerous Python, data science, and scientific communities worldwide.
- Agents in Action: From Concepts to Live Agent Demos
Product and Tech consultant
- Python India User Groups
- Getting Started with Open Source
- Getting Started with Open Source
- [Panel] Vibe Coding: Yay or Nay?
- Compiling Python to WASM
- Waspy: Python to WASM compiler
- Ragas: Supercharge Your LLM Application Evaluations
Software Engineer at JP Morgan Chase
Undergraduate in Computer Science and Engineering from IIT (BHU), Varanasi, 2021
Background in ML/AI, Deep Learning, and IDP, trained in both Hindustani Classical and Western Classical Music (Instrumental)
- Python and Music: Building a Music Tutor
Mahima Arora is a Senior Data Scientist on the Data & AI team at Red Hat, specializing in Generative AI applications. She develops AI-powered solutions that enhance efficiency and effectiveness, leading initiatives to optimize AI systems for greater impact. An open-source enthusiast, Mahima continuously explores new tools and technologies to expand her expertise and stay at the forefront of innovation.
- Mastering Prompts with Feedback and Pydantic
Mohit is a software engineer at Google. He is a Full-Stack Engineer with 6+ years of experience building scalable, resilient systems across fintech, blockchain, and cloud platforms.
Beyond work, He is passionate about open-source, developer education, and tech evangelism. He have mentored 150+ students, contributed to major open-source programs, and delivered 9+ talks
- Navigating Careers in the Age of AI: Staying Relevant & Growing Ahead
Lead Data Scientist currently working with Eka.care, I have 7 years of experience building ML systems.
Talk to me about all things LLM Evals, MCP, and Retrieval!
- KARMA: Building Medical AI Evaluation Systems with Python
Data Science, ML, and AI | Ex-Microsoft | Mentor | Speaker
About Me
Principal Data Science and AI Leader with 13+ years of experience in building impactful intelligent solutions across various domains. Skilled in leading large-scale projects, guiding cross-functional teams, and fostering a culture of innovation and excellence.
Expertise in:
- Machine Learning, Natural Language Processing, and Generative AI
- Driving business growth and operational efficiency
- Enhancing customer satisfaction through cutting-edge AI solutions
Proven Track Record:
- Recognized for strong leadership and strategic thinking
- Passionate about mentoring future talent
- Frequent speaker and thought leader in the data science community
- Numerous accolades for innovation and excellence
Let's connect!
🔗 LinkedIn: https://www.linkedin.com/in/agnitin/
- Compute-Scaling Methods at Inference Time
Param Rajani is a Software Engineer at GoDaddy with around 3 years of experience working in startups as a Data Engineer and later promoted to Senior Data Engineer.
His expertise lies in building scalable workflows on both serverless and Kubernetes platforms, having spearheaded product deployments in these domains. Param has witnessed the best and worst of scaling challenges, designing systems on Kubernetes and AWS, optimizing existing architectures, and crafting maintainable codebases. He brings hands-on experience with Python, Kubernetes, and a wide range of AWS cloud services—all achieved at an early stage in his career.
Connect with Param on LinkedIn
- Celery and Kubernetes for a Fast, Scalable, and Robust Workflow Orchestration
Rahul is a Learning & Development consultant to Tiger Analytics. Prior to this, he worked as a Scientific Software Developer at Enthought for close to eight years, across the world. While at Enthought, he contributed to and maintained several packages in the Scientific Python ecosystem.
He is seasoned speaker - including a workshop on Python packages at PyCon India 2017 and a talk on PEPs and Technical Writing at PyConf Hyd 2025.
- Experience the Frappe Framework
Hi, my name is Pratik Kumar Panda. I am Currently working at RedHat as an SRE. Primarly working on Openshift Dedicated and ROSA.
In my free time, you can find me building drones and hobby robots - tinkering with Raspberry Pis, Arduinos, and automation with Python
- Offline-First Python IoT: Mesh, Security & OTA on the Edge
- Edge ML with MicroPython + TinyML: Real-time Inference on under ₹500 Boards
Preethi has an MS (by Research) from IIT Mandi and her thesis focused on Computer Vision specifically medical image post-processing. She is the first author on publications at ACCV, WiML, and IEEE CBMS. At Sahaj, she has built ML prototypes for video understanding, LLM fine-tuning, and RAG-based QA systems. Authored a blog series on LoRA and Intrinsic Dimension, which led to speaking engagements at PyCon India 2024 and The Fifth Elephant 2025.
- Geometry of Efficient Fine Tuning: LoRA, Intrinsic Dimension & Subspace Learning
- Scatter The Learning. Reduce The Time.
Software engineer at BBD Software. Working closely with Django, FastAPI, Azure, GenAI real life use case implementations, AI Agents.
Curious, life long learner.
- Is FastAPI really fast ?
With a career ethos of "Never Stop Building," Puneet Khushwani has spent nearly a decade tackling diverse challenges across the technology landscape. Their experience includes the high-energy '0 to 1' journey of bringing new products to life, followed by a deliberate shift to driving growth in large-scale enterprise environments ('10 to 100').
This included key contributions at Coupa, where they also transitioned from an IC to an Engineering Manager role. Puneet recently joined GoDaddy in Pune, India, where they support the CET team.
- Finding a Needle in the Haystack - Debugging Performance Issues
Rajesh is working with GITAM University associated with Centre for Academic Innovation and Advancement (CAIA) as a Deputy Director. He is currently responsible for orienting Faculty and providing technical solutions to the various departments of GITAM schools aiming continuous evolution of academic standards to meet the industry requirements. He has expertise on competency development for Modern Programming, BSP, Middleware Solutions of Linux OS, Android Automotive, App/HMI Development using QtQML, Android Apps, Digital Connectivity requirements of engineering products & IOT solutions, Infotainment, SDV solutions of Automotive domain.
He has 20 years of experience with core focus on Embedded Systems, Linux, IOT, Open-Source solutions with a wide span of industry & academia associations. He is the guest author for Open Source for You (OSFY) Magazine and renown speaker for many embedded, open-source conferences. He delivered talks and workshops in the areas of Embedded Systems, Linux & IOT eco system. He loves teaching, Linux & open source, keen on FOSS adoption among the community.
- Building Powerful Applications with Intuitive HMI Using PyQt and QML
Open Source Contributor. Google Summer of Code '24 and '25 @FOSSology
Pythonista.
- Automating License & Copyright Scanning in CI Pipelines With FOSSology
I consider myself as a generalist with a deep interest in software engineering and leveraging software to solve problems. I've worked in multiple domains, and in multiple roles as a technologist. My primary interest in the early days was in the areas of text mining and information retrieval, along with traditional NLP. Over the years, I happened to move across different domains, including advertising, large scale data processing, edtech and manufacturing as well as technical coaching and consulting. Of late, I've been looking to revisit my interest in the area of text and natural language processing through the lens of modern day deep learning and have been spending time on learning and using tools and techniques relevant for the same. My primary focus areas are SLMs and running them on edge or customer-grade devices.
- Scatter The Learning. Reduce The Time.
I work for Intelsat. I have been using Python Since 2011. I previously worked in Integration of Embedded Linux, writing low level firmware for Arm cortex M3 based micro controllers and device interfacing using Python. Right now I am writing Python tools to Analyse system logs.
Also I am a co organizer for Chennaipy. I have been volunteering Chennaipy meetup since 2011.
I never loved programming in college. Python Changed my view of programming. After learning Python I learnt c and worked in Embedded system. Python Changed my career in to right path.
- Know Thy Packets: Demystifying Network Fundamentals with Scapy
Robin is the human at the helm for TestZeus, the company behind world's first open source testing agent. He is a versatile engineering leader with more than 15 years of experience in software delivery across startups, scale-ups and enterprises. He is a System 1 thinker, and has led products contributing to $10M ARR. With a metrics-driven approach, he has elevated engineering maturity of product teams for diverse domains such as BFSI, EdTech, Retail, and Developer Experience. Beyond work, he mentors at ADPList and Plato, contributes to open-source projects like Selenium and has authored books and international courses on software testing. He is also a recognized speaker at international events such as Dreamforce (by Salesforce) and Selenium Conference.
- Boundaries of Multi Agent Systems
I'm a Software Engineer with close to 6 years of experience, currently working at Autodesk where I design and implement high throughput data pipelines to ingest and process petabytes of data. I love to have engineering discussions around performance tuning, and optimization patterns for languages like Python which are often deemed as just "scripting languages". In my off-time, I go trekking, watch anime, collect watches and play videogames.
- Beyond the Basics - Advanced GIL Mitigation Patterns
Hey everyone 👋,
I am a Solution Consultant at Sahaj Software, specializing in Backend Development, Cloud Computing, and bit into Retrieval-Augmented Generation (RAG) systems. I have a passion for database internals and system-level behavior, I focus on building efficient, elegant systems while exploring the interaction between hardware and software.
- Python Sockets at Scale: I/O Multiplexing and Asyncio
Applied ML Scientist with over 13 years of experience working on scalable and impact driven ML and LLM Solutions.
- Compute-Scaling Methods at Inference Time
Saksham Aggarwal is a founder and engineer building AI agents that automate engineering grunt work, starting with SDK integrations so that product teams can move faster.
He was the #1 engineer / founding member at PYOR, a Castle Island–backed financial data startup, where he built an enterprise data terminal for on-chain analytics.
Saksham has also driven growth at Flint (now LogX) and scaled Conquest, India’s largest student-run startup accelerator.
He’s passionate about: Agentic retrieval systems, Programmable prompts, Evals (Text/Image/Video), Interaction design, and Synthetic data pipelines.
- Evals First, Code Later: A Practical Guide to Evaluations, Rerankers & Caches
Specialises in computer vision, time-series forecasting, and scalable MLOps frameworks with over five years of experience in ML engineering.
Develops and deploys production-grade ML solutions in automotive, telematics, and clean-tech domains.
Leads real-time inferencing platform development and ADAS calibration model deployment at Lytx, scaling across 100,000+ devices.
Designed predictive maintenance and anomaly detection models at Nunam Technologies, building MLOps pipelines with Kubeflow, KServe, and MLflow on AWS.
Contributes to open-source projects such as MLPerf-Tiny and delivers technical talks at major ML conferences.
- Optimising Deep Neural Inference for Edge Devices: Toolchain and Techniques
I am a mechanical engineering graduate with 3 decades of experience in manufacturing and financial services domains, I have started my career as design engineer in hydraulic turbine manufacturing company. After spending 5 years, I have stated my IT journey at Aspect Development/i2 Technology. I have worked primarily on data scrubbing, modelling, analysis and data migration projects for supply chain management. I then joined technology services side of a financial services company and currently working as data scientist. I have been using python for last 10+ years for automation, data analysis, data science, web development, etc. I am very excited about the endless opportunities that arise in day today work and application of python for solving problems, automating day to day activities. I conduct regular training sessions for data analysis ( numpy, pandas, scikit-learn and matplotlib) in my company.
I am a regular speaker at Pycon India conference. I have done various talks and workshops in Pycon India since 2017.
- MCP Unlocked: The Key to Smarter AI Contextualization
I'm a computer vision engineer with a strong foundation in classical image processing and a passion for modern AI. My journey began at BARC, where I tackled scientific imaging challenges, and evolved at Applied Materials, where I built deep learning-based solutions for semiconductor manufacturing. I specialize in fusing traditional vision techniques with deep learning to create scalable, interpretable, and high-performance systems. I thrive at the intersection of research and real-world application—bringing AI from concept to product.
Beyond the lab and code, I find balance and inspiration in the outdoors and the arts. Trekking fuels my sense of exploration, much like research does. Reading and writing in Hindi keep me grounded in language and expression, while cooking—both a science and an art—mirrors my love for experimentation and creativity. Whether it's crafting a model or a meal, I enjoy the process of building something meaningful from the ground up.
- Scaling Python for Performance: 40x Faster Image Processing with Smart designing
I am an distinguished AI specialist and advocate based in Bengaluru, India, with over 12 years of experience in AI/ ML and product innovation. Currently, I am engaged as an Lead AI Advocate at IBM, where I help the adoption of AI technologies, including IBM's Granite models and WatsonX platform, across various industries. My role involves delivering technical content, promoting product adeptness, and offering insights on AI trends to influence strategies and solutions aligned with organizational goals. I am also pursuing PhD in Applied AI from IIITA.
- Preparing Data for LLM Applications Using Data Prep Kit
Shrayas Rajagopal heads the engineering efforts at a Logic Soft - a small organization with a large impact. Logic Soft is the only recognized software providers for the Book Trade businesses. If you have ever gone to a book store, it is very likely that Logic Soft's software is running their business behind the scenes.
At Logic Soft he is responsible for all key technical and business decisions and has set a foundation for building the next generation of web and mobile applications in the organization. He enjoys building simple and future proof software with a focus on readability and scalability. He strongly believes that new technologies are not the right way to solve problems - simple design is.
Previously at SAP Labs, he worked on a small team that helped test and build out Sentinel - an Algorithmic Trading platform on a then new gen SAP database - SAP HANA
Outside of work, he enjoys running very long distances, trekking mountains or whipping up something in the kitchen.
- Know Thy Packets: Demystifying Network Fundamentals with Scapy
I'm an AI Developer with a Master's in Physics and a strong focus on computer vision, image generation, and applied AI in e-commerce. My current work blends rule-based logic, probabilistic modeling, and reinforcement learning to design adaptive templates for ad creatives. I also build tools using ComfyUI, pushing the boundaries of generative image workflows.
Outside of work, I’m interested in how AI can make design and content creation more accessible especially for small businesses that don't have big creative teams. This is my second time attending PyCon, and I’m looking forward to sharing practical insights and learning from others building with intent and creativity.
- Engineering Custom Diffusion Workflows with ComfyUI: A Developer's Guide
- [Panel] Vibe Coding: Yay or Nay?
Hello Dosto ❤️
This is Shubham Londhe, a Developer Advocate at AWS, passionate about developing and deploying production-ready applications and sharing my learnings with the Tech communities..
After developing Applications in a product-based startup and a mid-size service-based firm, I gained experience in Python, Django, Flask, AngularJS, SQL, Neo4J, MongoDB, DevOps, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab, AWS, Leadership Skills, and Soft skills.
I believe continuous learning and development to keep myself up-to-date and up-skilled is the solution to modern-day application development for customers.
I love sharing my knowledge via videos to an audience more than 250K+ learners across social media.
Happy Learning
- Building Agentic AI Applications With Strands Agents SDK
Sibin Bhaskaran is a Solution Consultant and technology lover at Sahaj AI Software. With over a decade of practical knowledge, he strives to gain a comprehensive understanding of the entire business lifecycle, putting into perspective the pivotal role that technology plays in its overall success. He has extensive knowledge across diverse domains of technology, spanning backend development, mobility solutions, robotic process automation, and machine learning.
- Navigating Real-World Challenges in a Production-Grade Multi-Agent System
Siddhant is an AI Research Engineer at Codebasics, with a strong background in developing innovative solutions that bridge the gap between natural language processing and structured data. He is the creator of the MindSQL library, a simple tool that significantly simplifies the development of Text-To-SQL interfaces.
LinkedIn: https://www.linkedin.com/in/tnahddisttud/
X (Twittwr): https://x.com/tnahddisttud
- building nanoagents- a worklog
Hi .👋🏾 I'm Siddharta, a Python developer and trainer.
I first encountered python in 2002, and it has remained my favourite programming language ever since. I have been a speaker at PyCon India in 2009, 2011 and 2024,. I am the author of the book "Test-Driven Python Development" published by Packt in 2015.
Today I run the site https://www.playfulpython.com/ where I write about Python topics.
- Programming is Playtime
AI developer working in a small, curious team focused on exploring what machines can learn from images. We tinker with models, test strange ideas, and try to teach AI to see the world a little better (or at least differently)."
- Engineering Custom Diffusion Workflows with ComfyUI: A Developer's Guide
I am currently working with Deloitte as a Software Engineer (HCSM - Infra and Cloud Management). I mainly deal with NOC and Cloud for my team.
- Edge ML with MicroPython + TinyML: Real-time Inference on under ₹500 Boards
Serial AI Entrepreneur creating contents on YouTube and Building Ventures
- Agents in Action: From Concepts to Live Agent Demos
Architect | Product Manager | Engineering Leader | AI
Srikanth is an Architect, Product Manager, and Engineering Lead at OSI Digital Pvt Ltd
He leads an exceptional team of 20 engineers, crafting innovative solutions that shape the future, one project at a time.
What I Do:
As an Architect and AI Innovator, I specialize in turning ideas into scalable, cutting-edge solutions across AWS, Azure, and GCP. From building microservices and cloud-native systems to powering real-time data streams with NodeJS, Python, and AWS IoT Core, I bring tech to life.
AI is my playground – whether it's AWS Rekognition, Google Vision AI, or GenAI, I’m constantly designing smarter, more intuitive technologies.
Leading a team of talented engineers, I’m dedicated to mentoring, empowering, and delivering high-impact results. Whether it’s creating sleek apps with React, Angular, and Ionic, or building interactive chatbots using DialogFlow and Watson, I’m always pushing the boundaries of what’s possible.
Let’s connect and build something extraordinary – srikanth.cloudarch@gmail.com
Explore more about our work at OSI Digital Pvt Ltd
- RAGs to Riches: Efficient WebChatbot with Async Scraping & Hybrid Re-Ranking
Stefanie Molin is a software engineer at Bloomberg in New York City, where she tackles tough problems in information security, particularly those revolving around data wrangling/visualization, building tools for gathering data, and knowledge sharing. She is also a core developer of numpydoc and the author of “Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization,” which is currently in its second edition and has been translated into Korean and Chinese. She holds a bachelor’s of science degree in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
- Data Morph: A Cautionary Tale of Summary Statistics
I’m Subhajit Mukherjee, Director of Technology at Reckonsys Tech Labs in Bangalore. I’ve spent over a decade building products with Python, from scalable MVPs to AI-driven platforms in fintech, healthcare, and education. My current focus is on generative AI and creating frameworks that make agent workflows reliable, observable, and ready for production.
- Democratization of software development using Gen AI
- Democratization of software development using Gen AI
Python dev, OSS enthusiast and speaker.
- DevSprint: Black formatter
Cloud Engineer with 1.5+ years at FICO specializing in infrastructure automation, GitOps, and Kubernetes. Active contributor to Kubernetes community as member of v1.33 Release Team. Outside of work, I have a passion for painting and traveling.
- Lint Like Lightning, Deploy Like a Ninja: Ruff + Dagger in Action
Vatsal Shah is a technologist, builder, and thought leader at the intersection of cloud, AI, and scalable systems. As a Principal Solutions Architect at AWS India, he specializes in breaking down complex challenges—whether it’s engineering architectures to handle tens of millions of users, delivering real-time ML at massive scale, or mentoring teams to innovate boldly. Vatsal’s journey spans startup and large-scale digital media, gaming, and internet platforms, with a focus on AI/ML, design thinking, and seamless digital growth. Since launching his career in 2013, Python has been his language of choice for crafting fast, scalable, and human‑centric solutions. When not driving cloud innovation or publishing on leading-edge tech, he explores new horizons in game tech and context engineering.
- From Scripts to Solvers: Building Agentic AI Systems in Python That Think and Do
I am a Python Enthusiast who loves building software applications and education related content. I am a technology professional and a passionate programmer with 12 years of experience in Python & Python related technologies. I am currently working as Software Architect at EPAM India.
I have been involved with multiple professional projects in various industrial domains and technical fields. My expertise is in application development, data processing & analysis, data pipelines, non-relational and relational databases, Python, FastAPI, Flask, Celery, Redis, AWS, Airflow, GreatExpectations, Docker, and various other tech stacks. I am also an open source contributor, and published self developed libraries on PyPI. I love creating libraries and various utility tools that help me in solving a challenge/problem that could also be used by others in the developers community.
- FastAPI for Production: Patterns and Architecture in Practice
- Surprises, Pitfalls, and Patterns: Learnings from Interviewing 400+ Developers