Summary
Ninad Mhatre is a Python-focused developer with 11 years of experience building automation, deployment, and quant-focused ML tooling across global trading and banking firms. Currently at Flow Traders he designs flexible scikit-learn-based ML frameworks and end-to-end ETL pipelines that run on GCP, bridging quant research and production. His background spans QA automation, risk platform support, and large-scale release tooling at institutions like Bank of America and J.P. Morgan, giving him deep operational insight into trading workflows and production reliability. He has a strong track record of turning Excel and manual processes into web- and script-based tools, and of accelerating releases through automation. Based in Amsterdam, he combines hands-on Python engineering with practical knowledge of deployment, testing, and security practices accumulated over long tenures. Colleagues rely on him for pragmatic, production-ready solutions that connect quant models to robust pipelines.
11 years of coding experience
9 years of employment as a software developer
BE, BE at University of Mumbai