Summary
Dipayan Dutta is a software engineer with eight years’ experience building AI/ML-driven financial infrastructure and production systems for institutional clients. At Morgan Stanley he has moved from research-focused ML work—creating finBERT-based sentiment indexes and Q-learning trading bots—to engineering critical fund services like order management, liquidity redemptions, and risk aggregation. He combines deep technical roots from an MS in Computer Science with hands-on systems experience (Kafka, Gradle migrations, Spark, REST/microservices) and a background in telecom and embedded research. Known for turning research prototypes into reliable pipelines, he also has a track record of improving developer workflows and extracting actionable insights from noisy financial text. Based in New Brunswick, he bridges data science and software engineering to deliver production-ready models and resilient trading infrastructure.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electronics and Communications Engineering, Bachelor's degree Electronics and Communications Engineering at Indian Institute of Engineering Science and Technology (IIEST), Shibpur
Higher Secondary School Final Exam Science, Higher Secondary School Final Exam Science at Bharatiya Vidya Bhavan
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Rutgers University
English, Bengali, French, Hindi