Summary
Rishi Josan is a Senior Software Engineer in New York with 12 years building high-scale, production ML systems across Google Cloud KMS, LinkedIn, Uber, and Bloomberg. He specializes in recommender systems, anomaly detection, time-series forecasting and machine learning platforms, with hands-on experience shipping low-latency relevance scoring and backtesting infrastructure. At Uber and Bloomberg he helped design end-to-end ML pipelines and performance-critical services, and at Google he now applies that expertise to secure, high-throughput key management. His background blends practical production engineering with research-driven ML work from Stony Brook, and he has a track record of integrating systems-level C++ and large-scale platform development. Notably, he has moved from finance-focused recommender work to platform and security domains, giving him a rare cross-domain perspective on reliability, latency and model lifecycle in production.
12 years of coding experience
5 years of employment as a software developer
High School, High School at St. Theresa's Convent Sr. Sec. School
Bachelor of Technology (B.Tech.), Information and Communication Technology (ICT), Bachelor of Technology (B.Tech.), Information and Communication Technology (ICT) at Dhirubhai Ambani Institute of Information and Communication Technology
Master's Degree, Computer Science, Master's Degree, Computer Science at Stony Brook University
English, Hindi, Punjabi