Advitya Gemawat

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Advitya Gemawat
Advitya Gemawat.jpg
Born
Jodhpur, India[1]
OccupationMachine Learning Engineer
OrganizationMicrosoft Corporation (Affiliation)
Known forMachine Learning, Systems for ML, Responsible AI[2] (Research interests)

Advitya Gemawat is a software developer and researcher specializing in Machine Learning, scalable systems for Machine Learning, and Responsible AI. He currently works at Microsoft Corporation, contributing to Azure AI Foundry as part of the Azure AI Platform organization.[3]

Early Life and Education

Advitya Gemawat was born in Jodhpur, India, and moved to the United States to pursue higher education. At the age of 17, he enrolled at the University of California, San Diego (UCSD), where he majored in Data Science. He graduated Magna Cum Laude in 2021, ranking in the top 6% of his class.[4][5][6][7]

While at UCSD, Gemawat contributed to Project Cerebro, a layered data platform for scalable deep learning, under the guidance of Professor Arun Kumar. His research earned numerous accolades, including the 2021 ACM SIGMOD Student Research Abstract Competition and the Best Project Award through the HDSI Scholarship Program.[8][9][10][11][12]

Career

Gemawat joined Microsoft through the Microsoft AI Development Acceleration Program (MAIDAP). During his tenure, he has worked on projects across divisions including Azure Quality, Gray Systems Lab (GSL), Azure Edge & Platform, and Azure Machine Learning (AML).[4][3]

Some of his notable contributions at Microsoft include:

  • Contributing efforts in LLM Evaluation Tooling for Azure AI Foundry.[3]
  • Adding support for object detection models on Azure ML Studio’s Responsible AI Dashboard, released in Public Preview at Microsoft Build 2023.[13]
  • Winning the Microsoft Global Hackathon Executive Challenge for his work on a Tensor Query Processor at GSL.[14][15]
  • Prior to joining Microsoft, Gemawat interned at VMware, where his contributions to the Massively Parallel Automated Model Building for Deep Learning were integrated into Apache MADlib 1.18.0.[4][16]

Awards and Recognition

  • Halıcıoğlu Data Science Institute Alumni of the Year 2023[5]
  • Microsoft Global Hackathon Executive Challenge 2022 Winner[15]
  • VLDB Best Demonstration Award[17]
  • Magna Cum Laude, UC San Diego
  • Halıcıoğlu Data Science Institute Peer Recognition Award[18]
  • Halıcıoğlu Data Science Institute Undergraduate Scholarship Project Award[10]
  • ACM SIGMOD Student Research Abstract Competition Winner[11]
  • "25 under 25": Top Data Science Contributors and Thought-Leaders[19]
  • HDSI Undergraduate Research Scholar[20]

Publications

  • Assess AI Systems by Using the Responsible AI Dashboard[21]
  • Debug Object Detection Models with the Responsible AI Dashboard[22]
  • The Tensor Data Platform: Towards an AI-Centric Database System[14]
  • Share the Tensor Tea: How Databases Can Leverage the Machine Learning Ecosystem[23]
  • GraphGem: Optimized Scalable System for Graph Convolutional Networks[24]
  • Massively Parallel Automated Model Building for Deep Learning[16]
  • Cerebro: A Layered Data Platform for Scalable Deep Learning[8]

Media and Editorial Work

Advitya has been featured in publications and platforms such as:

  • NewsX: Artificial Intelligence And Society | Policy and Politics With Tarun Nangia[25]
  • BW Legal World: Blueprint for integrating Generative AI Tools in Indian Legal Workflows[26]
  • The Daily Herald: Wearables: The Next Phase Of Blending The Physical & Digital Worlds[27]
  • The Daily Herald: Beyond the Hype: Navigating the Future of Intelligence[28]
  • PathFinder: Sharing insights on his professional journey.[29]
  • LawWiser: Discussing the impact of AI on the legal industry. [30]

Advitya has also contributed to the Amazon Bestseller Ace The Data Science Interview book. His endorsement is mentioned on the back-cover of the book, and the book is ranked a Best Seller for the Data Mining category on Amazon and #65 on the "20 Best-Selling Science Books of All Time" list by BookAuthority.org"[31][32]

References

  1. ↑ "Advitya Gemawat". www.google.com. Retrieved 10 March 2025.
  2. ↑ "Advitya Gemawat". scholar.google.com. Retrieved 10 March 2025.
  3. ↑ 3.0 3.1 3.2 "Advitya Gemawat at Microsoft Research". Microsoft Research. Retrieved 10 March 2025.
  4. ↑ 4.0 4.1 4.2 "Advitya Gemawat". linkedin. Retrieved 10 March 2025.
  5. ↑ 5.0 5.1 "Alumni Relations". datascience.ucsd.edu/alumni-relations/. Retrieved 10 March 2025.
  6. ↑ "Advitya Gemawat". YouTube. Retrieved 10 March 2025.
  7. ↑ "Latin Honors". students.ucsd.edu. Retrieved 10 March 2025.
  8. ↑ 8.0 8.1 "Cerebro: A Layered Data Platform for Scalable Deep Learning" (PDF). cidrdb.org. Retrieved 10 March 2025.
  9. ↑ "Arun's Data Analytics (ADA) Lab @ UCSD". adalabucsd.github.io. Retrieved 10 March 2025.
  10. ↑ 10.0 10.1 "ADA Lab @ UCSD". adalabucsd.github.io. Retrieved 10 March 2025.
  11. ↑ 11.0 11.1 "The 2021 ACM SIGMOD/PODS Conference: Xi'an, Shaanxi, China - Student Research Competition". 2021.sigmod.org. Retrieved 10 March 2025.
  12. ↑ "SIGMOD 2021 Student Research Competition". cs.uwaterloo.ca. Retrieved 10 March 2025.
  13. ↑ Community, ODSC (28 June 2023). "Debug Object Detection Models with the Responsible AI Dashboard". Open Data Science - Your News Source for AI, Machine Learning & more. Retrieved 10 March 2025.
  14. ↑ 14.0 14.1 "The Tensor Data Platform: Towards an AI-centric Database System" (PDF). www.cidrdb.org. Retrieved 10 March 2025.
  15. ↑ 15.0 15.1 "Microsoft Global Hackathon Executive Challenge 2022 Winner was issued by The Microsoft Garage to Advitya Gemawat". Credly. Retrieved 10 March 2025.
  16. ↑ 16.0 16.1 tanzu, vmware (12 April 2021). "Massively Parallel Automated Model Building for Deep Learning". Tanzu. Retrieved 10 March 2025.
  17. ↑ "VLDB 2022 - Conference Awards". vldb.org. Retrieved 10 March 2025.
  18. ↑ "HDSI Virtual Graduation 2021.mp4". vimeo.com. Retrieved 10 March 2025.
  19. ↑ Moore, Stephanie (28 August 2020). "The Data Standard Presents: 25 Under 25". Medium. Retrieved 10 March 2025.
  20. ↑ "HDSI awards 27 scholarships to undergraduate researchers". datascience.ucsd.edu. Retrieved 10 March 2025.
  21. ↑ "Assess AI systems and make data-driven decisions with Azure Machine Learning Responsible AI dashboard - Azure Machine Learning". learn.microsoft.com. 30 September 2024. Retrieved 10 March 2025.
  22. ↑ "Debug Object Detection Models with the Responsible AI Dashboard". TECHCOMMUNITY.MICROSOFT.COM. Retrieved 10 March 2025.
  23. ↑ "Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem" (PDF). vldb.org. Retrieved 10 March 2025.
  24. ↑ Gemawat, Advitya (18 June 2021). "GraphGem: Optimized Scalable System for Graph Convolutional Networks". Proceedings of the 2021 International Conference on Management of Data. Association for Computing Machinery. pp. 2920–2922. doi:10.1145/3448016.3450573. Retrieved 10 March 2025.
  25. ↑ "Artificial Intelligence And Society Policy and Politics With Tarun Nangia". youtube. Retrieved 10 March 2025.
  26. ↑ "Blueprint for integrating Generative AI Tools in Indian Legal Workflows". BW Legal World. Retrieved 10 March 2025.
  27. ↑ "Wearables: The Next Phase of Blending the Physical & Digital Worlds". The Daily Herald. Retrieved 10 March 2025.
  28. ↑ "Beyond the Hype: Navigating the future of Intelligence". The Daily Herald. Retrieved 10 March 2025.
  29. ↑ "PathFinder". PathFinder. Retrieved 10 March 2025.
  30. ↑ "Revolutionizing the Legal Industry : The Impact and Future of AI and ChatGPT". lawwiser. Retrieved 10 March 2025.
  31. ↑ "The Best-Selling Science Books of All Time". bookauthority.org. Retrieved 10 March 2025.
  32. ↑ "Amazon Best Sellers: Best Data Mining". www.amazon.com. Retrieved 10 March 2025.

External Links

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