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
1 year of employment as a software developer
Fifth Year, Fine Arts, 1st Division (Distinction in Practical), Fifth Year, Fine Arts, 1st Division (Distinction in Practical) at Pracheen Kala Kendra, Chandigarh
Higher Secondary Graduate, Council for the Indian School Certificate Examinations (CISCE), 97.5% (ISC), 95.6% (ICSE), Higher Secondary Graduate, Council for the Indian School Certificate Examinations (CISCE), 97.5% (ISC), 95.6% (ICSE) at St. Xavier's Institution
Bachelor of Technology (B.Tech.) Hons., Information Technology, CGPA: 9.29 / 10.00, Bachelor of Technology (B.Tech.) Hons., Information Technology, CGPA: 9.29 / 10.00 at Indian Institute Of Information Technology
English, Hindi, Bengali, French