At WorldQuant, I automated research and backtested 8,000+ quantitative alphas across regional markets. I built a concurrent Go simulation engine that generated and submitted 1,000+ alpha candidates per run, alongside resilient REST API and SQLite persistence layers for validation, ranking, and mutation-based generation.
I'm pursuing Computer Science and Engineering at IIT (ISM) Dhanbad and build practical AI products, including Travelite, an AI trip planner with Gemini API and machine-learning recommendations, and CryptTalk, an end-to-end encrypted real-time chat application. I bring strong algorithmic problem-solving, reflected in Codeforces Specialist and CodeChef 3-star ratings, and earned second place at the Agglomeration national-level hackathon for an AI travel recommendation platform.
