Summary
Ankit Srivastava is a Principal Data Science Manager at Microsoft with 13+ years of experience leading AI, ML and NLP initiatives that bridge research and product. He has shipped generative AI features for Copilot in Security and Intune, deployed multiple ML models to production (clustering-based Settings Insight, pattern-mining Device Cohorts, and incident-escalation prediction), and set up rigorous A/B testing and evaluation frameworks for agentic AI. His background spans core telemetry and propensity modeling in Microsoft 365, differential privacy research applied to commercial diagnostics, and early work on scalable mutual information ranking and time-series risk signals. Comfortable moving from prototyping to product, he blends academic training (MS in Computer Engineering, graduate work at Stanford and Harvard) with a track record of shipping defensive, privacy-aware models that measurably boost IT admin productivity. Based in Kirkland, he pairs deep technical breadth with practical systems thinking—often surfacing non-obvious signals (e.g., device-network associations and organizational importance scores) to drive business impact.
13 years of coding experience
13 years of employment as a software developer
Master of Arts (M.A.), Master of Arts (M.A.) at University of Washington
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at The University of Texas at Austin
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Dublin City University
Council for the Indian School Certificate Examinations, Council for the Indian School Certificate Examinations at GEMS Education
English, Hindi, Arabic, German