Anish Patil

At Payoda Technologies, I develop, test, and debug Python applications and backend services for a production application. I also tune MySQL queries, cutting average response time by approximately 30%.

On my AI-Powered Database Query Assistant project, I built a Python application that turns natural-language questions into SQL queries across a MySQL database. Its RAG pipeline raised response accuracy from approximately 60% to approximately 90%.

I also built Nifty Trading Sniper, which processes live NSE data into 5-minute OHLC data for analysis and reporting. It includes a SQLite journal, automated reports, unit tests, and a Streamlit dashboard.

For my Helmet Detection System, I trained and evaluated a YOLOv8 model on a custom-labeled dataset, reaching approximately 95% accuracy. I’m a Computer Engineering graduate seeking an AI/ML Computational Science Associate role.