Advitya Gemawat
Machine Learning Engineer 2 - Windows at Microsoft
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAdvitya Gemawat is a Machine Learning Engineer at Microsoft with eight years of experience building scalable ML systems, from research prototypes at UC San Diego to production AI tooling across Azure, M365, Xbox and Windows. He blends systems and ML expertise—authoring transfer-learning systems and GCN optimizations that earned SIGMOD/CIDR recognition—while shipping Responsible AI, evaluation, and LLM fine-tuning features at Microsoft (including Azure OpenAI Evaluations and telemetry/optimization work that cut memory and latency dramatically). His contributions span practical AutoML and hyperparameter search for MPP databases (Apache MADlib), AIOps tooling that accelerated time-to-remediation up to 6x, and winning demos such as a GPU-backed Tensor Query Processor. Notable for early initiative, he moved across the globe at 17 to join UCSD’s inaugural Data Science major and became one of Microsoft’s youngest MAIDAP engineers, delivering high-impact cross-org projects and open-source tools (RAI Toolbox). He combines research-grade systems thinking with product-focused engineering to take ML innovations from papers and demos into large-scale, cost-saving production services.
8 years of coding experience
6 years of employment as a software developer
University of California, San DiegoData Science, Data Science at Halıcıoğlu Data Science Institute, UC San Diego
English, Hindi, French, Marwari, memes
Github Skills (102)
python10
toolbox10
azure-machine-learning10
fairness-ml10
data-driven10
data-exploration10
ml10
ai10
azure10
data-visualization10
developer-tools10
artificial-intelligence10
monitor10
jupyter10
data-science10
Programming languages (9)
Github contributions (5)
Advitya17/AutoBrickify
Oct 2020 - Mar 2021
Contributions:379 commits, 96 pushes, 3 comments in 4 months
Advitya17/madlib
Jul 2020 - Sep 2020
Mirror of Apache MADlib
Contributions:54 pushes, 4 branches in 2 months
javaapache
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