Summary
Ahmad Shayaan is a Senior Data Scientist based in New York with 11 years of experience building production-ready ML systems and next-generation deep learning architectures. He blends financial engineering training from Columbia with hands-on quantitative research and software engineering, having built pricing engines for municipal bonds and optimized asset-allocation and trade-allocation algorithms. At Robinhood he advanced from risk-focused modeling to senior data-science responsibilities, applying reinforcement learning and actor-critic frameworks earlier in his research to practical assortment and trading problems. His background includes delivering operational tooling at Cisco and improving query and numerical performance in academic research, reflecting a strong systems-minded approach to ML. Curious and experimental, he enjoys tinkering with new tools and translating academic methods into robust, deployable solutions for finance.
10 years of coding experience
6 years of employment as a software developer
Integrated Masters of Technology, Theoretical computer science, Integrated Masters of Technology, Theoretical computer science at International Institute of Information Technology Bangalore
MS in Financial Engineering, MS in Financial Engineering at Columbia University
High School, High School at Delhi Public School Bhopal
Urdu, English, Hindi