PyCon India 2025

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Aakash Khandelwal

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
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Aarti Jha

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
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Abhijit Roy

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
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Abhik Sarkar

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?
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Aditi Gupta

Aditi Gupta is a Software Development Engineer with a strong foundation in cloud-native technologies and AI/ML systems. A graduate of Indira Gandhi Delhi Technical University for Women - Asia’s largest tech university for women , she specialises in containerisation, microservice architectures, and Kubernetes-based orchestration. Her work focuses on building secure, scalable cloud environments and exploring innovative approaches to cloud security and developer experience.

  • From Docker to Deploy: Smarter k8s for Python Developers with Tilt & Skaffold
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Ajinkya P. Dahale

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
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Allen Y

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
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Aman

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
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Anand S

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
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Anant Gupta

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
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Aniket

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
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Anindita Sinha Banerjee

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
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Anivesh Pandey

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?
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Archit Singh

I'm Archit Singh, a Senior Backend Engineer at Tarka Labs with 8+ years of experience building high-concurrency systems, distributed infrastructure, and GenAI-powered pipelines. I specialize in designing resilient backend architectures using Python, Redis, Kafka, Postgres, and vector DBs. I strongly focus on system design, infra observability, and real-world autonomy in AI agents.

I’ve led the development of scalable LLM agent platforms, built memory-aware retry loops, and designed stateful execution layers for copilots and multi-agent workflows. I’m passionate about bridging cognitive architecture with production-grade infra, turning stateless chains into real systems that remember, reflect, and evolve.

  • Memory is the Agent: Architecting Stateful Reasoning in Python
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Ashish Shukla
  • Understanding Plugin Architecture for Python Packages
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Bhavani Ravi
  • Depths of Python: An Advanced Python Workshop
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Bhuvnesh Sharma

SDE 1 @Zelthy | Django core contributor | DSF member | GSoC'23 mentee , GSoC'24 mentor @Django

  • The Anatomy of Django Migrations
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Charan Teja C S

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
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Farhaan Bukhsh

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.

  • Compiling Python to WASM
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Gaurav Trivedi

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 AI model fine-tuned model to enforce style guide rules
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Heer Thakkar

Hi! I am Heer, a 16-year-old self taught python developer and an applied AI developer. I am currently pursuing a diploma in computer engineering from Parul University.

  • 'Hope, Hesitation and Hello World' : A Girl's Path from Confusion to Clarity
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Ivan Blinkov

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
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Jithu Sunny

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
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Kumar Anirudha

Product and Tech consultant

  • Compiling Python to WASM
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Lakshya Gupta

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
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Mahima Arora

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
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Nitin Agarwal

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
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Param Rajani

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
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Pratik Kumar Panda

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

  • Edge ML with MicroPython + TinyML: Real-time Inference on under ₹500 Boards
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Preethi Srinivasan

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
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Princekumar Dobariya

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 ?
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Puneet Khushwani

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
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Rajul Jha

Open Source Contributor. Google Summer of Code '24 and '25 @FOSSology
Pythonista.

  • Automating License & Copyright Scanning in CI Pipelines With FOSSology
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Rengaraj D

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
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Rohan Giriraj

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
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Rohan Reddy Alleti

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
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Rutvik Acharya

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
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Saksham Aggarwal
  • Evals First, Code Later: A Practical Guide to Evaluations, Rerankers & Caches
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Sasidhar Donaparthi

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
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Shaleen Jain

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
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Shiny S U

With over 13 years of experience in product development and agile software engineering, I specialize in building scalable backend systems and leading high-impact teams. I've worked across diverse roles including Backend Engineer, Engineering Lead and Agile coach, bringing together technical excellence and people-centric leadership. Passionate about Python and open-source, I enjoy sharing practical insights on backend architecture, workflow automation, and developer productivity.

  • Depths of Python: An Advanced Python Workshop
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Shrayas

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
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Shruti Dhavalikar

Shruti Dhavalikar is a seasoned Data Scientist with over 6 years of experience, currently serving as a Solution Consultant at Sahaj Software in Pune, India. Her expertise lies in transforming complex data into actionable insights, delivering end-to-end product cycles under Agile methodologies, and ensuring scalable, clean, and robust coding across diverse tech stacks. Shruti's strong communication skills have enabled her to effectively interact with clients, contributing to successful project outcomes. Beyond her professional pursuits, she harbours a curiosity for cosmology and space, and enjoys exploring different cuisines as a travelling foodie.

  • Navigating real-world challenges in a production-grade multi-agent system
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Sibin Bhaskaran

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
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Siddharta G

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
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Sneha Singh

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
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Srikanth Doddi

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
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Stefanie Molin

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
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Urvashi Choubey

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
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Vikram Vaswani

Vikram Vaswani is an open source developer and technical author with 22+ years of experience. He has written seven books on open source software and database programming for McGraw-Hill and Pearson. He is also well-versed in open source product management, product marketing and community management.

GitHub: https://github.com/vvaswani
LinkedIn: https://www.linkedin.com/in/vvaswani/
Website: https://vikram-vaswani.in

  • Workshop: Building Modern CI Pipelines in Python
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Vivek Keshore

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.

  • Surprises, Pitfalls, and Patterns: Learnings from Interviewing 400+ developers
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robin gupta

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
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shreya kommuri

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 speaking at 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
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siddhi kommuri

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