Summary
Soumen Basak is a data-driven Financial Analyst and AI consultant with six years of experience applying Python, SQL and GCP to market risk, fraud detection and quantitative finance problems. He built production-ready ML and MLOps pipelines—most notably AlgoGPT, which boosted derivatives forecast accuracy by 62% and helped cut fraudulent transactions by as much as 70%—and developed consolidated risk dashboards at HSBC that reduced ETL time by 30%. At Outlier he focused on reducing LLM hallucinations using RLHF, SFT and tooling for robust agent completion, and he continues to blend research and product pragmatism in Gen-AI for finance. Based in Bengaluru with an NIT Durgapur engineering background, he pairs hands-on model deployment with explainability to improve trading, risk and compliance decisions.
5 years of coding experience
Bachelor of Technology - BTech Metallurgical Engineering, Bachelor of Technology - BTech Metallurgical Engineering at National Institute of Technology Durgapur