Summary
Sayantan Chatterjee is an Equity Flow Vol Strategist at Goldman Sachs with a decade of engineering experience blending machine learning research, computer vision, and production-grade software development. He is proficient in Python, Golang, Java, JavaScript and C++, and has a strong background in full-stack development, DevOps and MLOps across startups and large firms. His work spans building reliable infrastructure (AWS, Terraform), automating operational workflows, and deploying ML-driven vision systems for industrial fault detection—where he devised a novel region-based adaptive Hough Transform for pipe defect detection. A former instructor and mentor, he translates complex CS concepts into practical code and tooling, and his creative side as a reader, cinephile and sketcher informs an analytical yet human-centered approach to problem solving. Based in Bengaluru, he combines rigorous academic performance (IIIT) with hands-on impact across research, SRE, and quant roles.
10 years of coding experience
Chemistry Hons, Chemistry Hons at Calcutta University, Kolkata
WBHS SCIENCE SCIENCE, WBHS SCIENCE SCIENCE at Vidyasagar school Ghatal