At HCLTech, I developed and optimized SQL queries and stored logic on MS SQL Server, using execution-plan analysis, indexing, and query rewrites to reduce slow-query execution time. I also debugged production issues across data and compute layers.
For my B.Tech thesis at YCCE Nagpur, I built a dataset of 9,000+ multilingual complaints and designed an NLP classification and routing pipeline. The SVM model reached 98% accuracy, and I implemented a Flask application to classify complaints and route them by automated email.
I also built SupportFlow, a ticket management API with JWT authentication, and a PDF RAG assistant that retrieves relevant document passages to generate grounded answers.
