Deepak Sharma
Applied Scientist 2 at Microsoft
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolDeepak Sharma is an Applied Scientist at Microsoft with 11 years of experience building and evaluating intelligent agents and ML systems, currently leading fine-tuning and evaluations for a Frontier Data Entry Agent. He blends academic rigor from an MS at McGill/MILA—where he focused on causal inference and ML in healthcare—with hands-on production work across research and engineering roles at Microsoft, Nuance, and Citi. Deepak is passionate about autonomous LLM/SLM-based agents that automate real tasks (for example, completing pull requests from task descriptions) and applies this to high-impact domains like healthcare, life sciences, education, and finance. Known for bridging interpretable models and generative approaches, he combines research-first thinking with product-driven execution to move prototypes into reliable systems.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at McGill University
Hindi, English
Github Skills (58)
python10
machine-learning10
java10
scala10
deep-learning10
gpu10
sql10
guava9
apache9
reinforcement-learning9
apache-flink9
parallel9
numpy9
big-data9
acceleration9
Programming languages (5)
Github contributions (5)
rishabt/music-player
Feb 2016 - Mar 2016
Contributions:66 pushes, 3 branches in 1 month
rishabt/McHacks-SocialMusic
Feb 2015 - Feb 2015
Contributions:4 commits, 2 pushes, 2 branches in 1 day
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