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Mahi Kolla

Mahi Kolla

AI Product Leader, Researcher, and Entrepreneur

mahi-kolla
San Francisco Bay Area
Joined April 2026
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Summary

Mahi is a rising product leader at Google DeepMind, specializing in AI-first development and the integration of large language models. She has contributed to the evolution of Google Colab, enhancing its capabilities with generative AI features like the Data Science Agent and agentic assistance, demonstrating a strong aptitude for transforming complex AI concepts into practical, user-friendly tools. googleblog+1
She is an accomplished AI/LLM researcher, with her work focusing on applications like content moderation. Her publications, including "LLM-Mod: Can Large Language Models Assist Content Moderation?", showcase her analytical skills and contributions to the academic community in the field of computer science. acm+1
Mahi possesses a strong entrepreneurial spirit, having co-founded Hatch and launched two ventures during her high school years: The Minty Boutique, a luxe stationery company, and Bikeware, a tech startup aimed at improving cyclist safety. These experiences highlight her initiative, business acumen, and ability to identify and address market needs from a young age. stukent+2
Her academic background includes a Bachelor of Science in Computer Science from the University of Illinois at Urbana-Champaign, where she was an Illinois Enhanced Engineering Scholar, and attendance at The Harker School. She is also slated to attend Harvard Business School as part of the HBS 2+2 program, indicating a strong foundation in both technical and business disciplines. illinois+1

Work

Education

Writing

Fully Reimagined: AI-First Google Colab

May 20, 2025

Article announcing the new, reimagined AI-first Google Colab, featuring an agentic collaborator powered by Gemini 2.5 Flash, designed to act as a coding partner with capabilities like iterative querying, next-generation Data Science Agent, and effortless code transformation.

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Data Science Agent in Colab: The future of data analysis with Gemini

March 3, 2025

Article introducing the Data Science Agent in Colab, powered by Gemini, which streamlines data analysis by generating full, executable notebooks from natural language descriptions. It highlights benefits like functional notebooks, modifiable solutions, sharable results, and time savings for users.

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LLM-Mod: Can Large Language Models Assist Content Moderation?

January 1, 2024

Research exploring the feasibility of using large language models (LLMs) to identify rule violations in online content, specifically on Reddit. The study evaluates an LLM-based moderator (LLM-Mod) and discusses considerations for integrating LLMs into content moderation workflows.

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Hobbies

Enjoys cooking new recipes and practicing photography. stukent