Summary
Atabak Ashfaq is an applied scientist and Member of Technical Staff at Microsoft with a decade of experience building and evaluating large-scale ML and NLP systems. He holds an MS in Computational Data Science from Carnegie Mellon and has driven production ML across Azure GenAI, CoreAI, and GitHub Copilot post-training—specializing in evaluation, finetuning, RL, and prompt/backend engineering for OnYourData products. Prior to Microsoft he built end-to-end machine learning pipelines at Goldman Sachs focused on time-series, anomaly detection, and productionization on Hadoop. His work uniquely spans both model-centric research (NL2Code, in-context learning) and product-focused AI quality and safety for LLMs, contributing to commercial-grade GenAI features. Based in Vancouver, he pairs deep academic training with hands-on production expertise and a track record of moving research into deployable systems. Colleagues note his knack for translating complex evaluation metrics into practical safety and model-improvement workflows.
10 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Master of Science - MS computational data science, Master of Science - MS computational data science at Carnegie Mellon University
English, Hindi, Punjabi