Tathagata Bandyopadhyay

Developed an Intuitive Natural Language Query system for Knowledge Graphs using LLMs. • Implemented Retrieval Augmented Generation (RAG) on Knowledge Graphs using graph traversal • Performed Prompt Engineering and In-Context Learning to generate reliable, reproducible and robust answers. • Developed an automated sentence extraction tool which reduced manual dataset creation effort by roughly 50 percent. • Utilized Python, LangChain, FastAPI and FLASK for backend and HTML, CSS, JS and Streamlit for frontend.

Developed an Intelligent Price Recommendation Engine with Statistical Modelling of historical price data. • Utilized Web Scrapping using Python, Pandas, NumPy and BeautifulSoup to collect and analyse market price. • Applied Test Driven Development (TDD) and CI-CD pipelines to improve code quality by roughly 45 percent. • Maintained back-end REST APIs written in C# .Net Framework. • Followed Agile Software Development with a cross-functional multi-national team of more than 50 members.

Passed with Distinction MA Thesis: Learning Neural Parametric Head Models using 2D Adversarial Objectives.