Husain Zaidi is a Software Engineer 2 at Microsoft with eight years of experience building back-end systems and large-scale data pipelines for the Microsoft Tasks ecosystem. He bridges product and data engineering, improving Azure Data Factory/Synapse pipelines that ingest terabytes daily, enhancing Spark job performance, and ensuring GDPR/EUDB-compliant telemetry and warehousing for PowerBI metrics. He has shipped core Todo features—like invite-less shared lists—and designed LLM agents and file-grounding integrations for Teams, leading an internal hackathon-winning LLM plugin effort. Comfortable across .NET, Python, Spark SQL and transformers, he pairs production-grade backend engineering with hands-on AI experimentation. Based in Hyderabad, he brings academic grounding in AI/MLOps from IISc and a history of research-driven problem solving dating back to neural-network work at the University of Kiel.
8 years of coding experience
2 years of employment as a software developer
Advanced PG Certificate, Artificial Intelligence and MLOps, Advanced PG Certificate, Artificial Intelligence and MLOps at Indian Institute of Science (IISc)
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at Aligarh Muslim University
Science Stream (Physics, Chemistry, Mathematics and Computer Science), Science Stream (Physics, Chemistry, Mathematics and Computer Science) at International Indian School Jeddah
Final year project for B.Tech. Using Unity to simulate and train an AUV. Navigation is learnt by training with the latest state-of-the-art deep reinforcement learning algorithm
Contributions:14 commits, 3 PRs, 9 pushes in 1 month
Contributions:16 pushes, 1 branch in 5 years 5 months
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