Summary
Soumava Banerjee is a data engineer with 9 years of experience building resilient, event-driven systems and risk platforms, currently driving AI-first initiatives at Goldman Sachs from Dallas. He blends distributed systems engineering (Kafka, Kubernetes, Terraform) with practical data tooling (MongoDB, RocksDB) to streamline post-trade workflows, end-of-day wiring, and exception management across large asset pools. His work has directly reduced regulatory exposure and improved operational efficiency through secure architectures and automated ETL and validation pipelines. Trained at Jadavpur University and Ohio State (MS CSE), he brings both low-level systems rigor and ML-infused data engineering—evident from earlier BERT-based production models—to solve complex financial data problems. Notably, he pairs backend systems design with hands-on frontend and mobile work, having built React and Android solutions to support security and operational use cases.
9 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Electronics and Telecommunication Engineering, Bachelor's Degree Electronics and Telecommunication Engineering at Jadavpur University
High School PhysicsChemistryMathematics, High School PhysicsChemistryMathematics at South Point High School, Kolkata
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at The Ohio State University
English, Hindi, Bengali