Ankur Garg
Summary
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SeniorAnkur Garg is a seasoned ML/NLP engineer with 12 years of experience building production-grade conversational AI and agentic systems from research prototypes to large-scale deployments. Currently at Microsoft AI, he focuses on function-calling, synthetic data pipelines, and RL-driven improvements to tool invocation, after leading key features and model-rollout infrastructure for Gemini at DeepMind and Google. He has a strong track record of improving latency, release cadence, and NLU quality for Assistant-scale systems, plus patents and peer-reviewed publications from prior research roles at Adobe and UT Austin. Based in San Francisco, he blends deep technical rigor with product-focused engineering—architecting proxy-to-production evaluation metrics that ensure lab gains translate to real-world reliability. Ankur’s background in both academic research and applied infrastructure gives him a rare ability to close the loop between model training, synthetic trajectory generation, and robust deployment.
12 years of coding experience
Github Skills (16)
python9
kubernetes8
rouge8
summarization6
wikipedia6
campus5
nlp4
natural-language-processing4
facebook-feed3
sentence-similarity3
facebook2
feed2
knowledge-graph1
mobile-development1
android-app1
Programming languages (3)
Github contributions (5)
ankurgarg101/ankurgarg101.github.io
Oct 2017 - Jul 2019
Contributions:36 pushes in 1 year 8 months
templategithub-pages-templatemmistakesmistakesjekyll
ankurgarg101/BusinessInfo
Mar 2015 - Oct 2015
Contributions:2 PRs, 6 pushes, 3 branches in 7 months
reactmobile-applicationreact-nativefirebasetracking
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