Summary
Salman Pathan is a Vice President leading AI Labs with 13 years of experience applying machine learning, statistics and scalable data engineering across finance and tech. He combines a Computer Science bachelor from IIT Bombay and an MFE from Berkeley Haas with deep hands-on experience building production pipelines, NLP and graph ML models at Amazon and quantitative alpha research at WorldQuant. His background spans low-latency financial risk systems, distributed data processing and model reliability, with demonstrated impact such as speeding auction workflows by 70% and improving client revenue through risk-driven analysis. A longtime Python enthusiast (and former C++ adopter), he’s fluent in PyTorch, PySpark and Scala and has co-authored peer-reviewed work in ML venues. Based in Edinburgh, he bridges research and production—turning proprietary datasets into repeatable, high-throughput analytics and trading signals. Notably, his career thread shows a rare mix of derivatives model calibration, production ML at scale, and product-focused analytics.
13 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Bombay
Master of Financial Engineering Financial Mathematics, Master of Financial Engineering Financial Mathematics at University of California, Berkeley, Haas School of Business
Telugu, English, Hindi, Chinese