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Tejashwini Thandoju

@tejashwinithandoju

Message

I build production-ready RAG, deep learning, and data analytics applications.

India

Message

I've built an enterprise RAG knowledge hub using LangChain, LangGraph, FAISS, ChromaDB, FastAPI, and Streamlit, enabling semantic search and context-aware Q&A across 10,000+ pages. My vector indexing and retrieval work reduced latency by 35%, achieved 92% context retrieval accuracy, and reduced hallucinations by 25% through agentic workflows.

I've also developed a pneumonia-detection CNN with 94.2% accuracy, Power BI investment intelligence dashboards across 50,000+ records, and e-commerce analytics pipelines that surfaced customer, revenue, and retention insights.

Experience

Work history, roles, and key accomplishments

AI Enterprise Knowledge Hub

Project Experience

Architected an enterprise-grade RAG application for semantic search and context-aware QA across 10,000+ pages of internal documents. Implemented custom chunking and vector indexing with FAISS and ChromaDB, optimizing retrieval latency by 35% and achieving 92% accuracy.

Python LangGraph Faiss ChromaDB OpenAI API fastAPI Streamlit RAG Semantic Search

Education

Degrees, certifications, and relevant coursework

Imarticus Learning

Post Graduate Program, Data Science & Generative AI

Grade: 82%

Pursuing a Post Graduate Program in Data Science and Generative AI, with coursework in machine learning, deep learning, LLM applications, RAG architecture, Python, SQL, and statistics.