Bibek Aryal is an Applied Scientist II at Microsoft with nine years of experience translating advanced research into scalable enterprise AI, specializing in fine-tuning LLMs for tenant-specific Copilot and BizChat solutions. He designs privacy-aware, production-ready training pipelines and custom Azure ML workflows that reduce hallucinations and improve factual correctness across Fortune 500 deployments. Combining a Ph.D. in Computational Science with a research background in remote sensing and semantic segmentation, he brings a strong experimental rigor to NLP model alignment and dataset creation, including synthetic supervised fine-tuning. Bibek is known for integrating human-in-the-loop labeling efficiently—achieving near human-level quality with only ~6–7% manual labels—and for mentoring cross-functional teams to operationalize cutting-edge models. He balances product sensitivity and compliance constraints with technical creativity, making research broadly applicable to real-world enterprise scenarios. Based in Kirkland, WA, he thrives at the intersection of academic depth and production engineering.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Science, Doctor of Philosophy - PhD, Computational Science at The University of Texas at El Paso
Bachelor of Science (BSc), CSIT, Bachelor of Science (BSc), CSIT at Ambition College
Estimate the coastline for the Arctic National Wildlife Refuge
Contributions:1 review, 36 commits, 3 PRs in 1 year 6 months
nationalarcticestimaterefugewildlife
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