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.
Session
Building efficient RAG chatbots, especially with complex data, presents bottlenecks. This talk shares our use case demonstrating how 4 core innovations achieved significant performance gains:
1. Accelerated Ingestion: asyncio reduced website crawl time from 5h 18m to just 40m achieving a >9x speedup.
2. Complex Data Handling: Multi-Modal Chunking enables seamless ingestion of documents with intricate text, images, and tables.
3. Improved Retrieval: Hybrid Re-Ranking (considering website metrics) ensures more efficient and relevant information retrieval.
4. Optimized Responses: Classifying and rephrasing user queries generates concise, context-aware responses with minimal tokens/latency.
These integrated strategies resulted in a highly performant and valuable RAG chatbot.