Tanmay Khirwadkar

CTO

United States16 yrs 3 mos experience

Key Highlights

Led ML teams impacting multi-billion dollar revenue streams.
Architected intelligent systems for low-latency ML workloads.
Developed personalized context engines for enhanced user experience.

Stackforce AI infers this person is a Machine Learning Engineer with extensive experience in AI-driven media and geolocation technologies.

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Skills

Core Skills

Machine LearningSoftware DevelopmentStatisticsData EngineeringDistributed Systems

Other Skills

PythonAlgorithmsC++CJavaPerlLinuxComputer ScienceMySQLDatabasesProbability TheoryTensorflow

About

Software Engineer and Manager with several years of experience in leading teams that use machine learning to solve difficult technical problems.

Experience

16 yrs 3 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 7 mos

Current Experience

Google deepmind

Engineering Leadership

Nov 2024 – Present · 1 yr 7 mos · Mountain View, California, United States

Leading the team responsible for building a personal context engine for Gemini models, which synthesizes a user's Workspace data and Google activity to enrich and personalize LLM interactions across Gemini app and Workspace products.

Machine LearningSoftware DevelopmentPython

Google

Senior Staff Software Engineer, Manager

Aug 2022 – Nov 2024 · 2 yrs 3 mos

Led the ML team for Youtube ads conversion prediction models (Video Action, PMax, DemandGen) impacting multi-billion dollar revenue streams.

Machine LearningStatisticsPython

Youtube

Senior Staff Software Engineer, Tech Lead Manager

Mar 2018 – Nov 2021 · 3 yrs 8 mos

I lead a team responsible for ranking and quality on Youtube Growth Platform. We drive growth for Youtube's subscription offerings by showing Machine Learning driven, highly personalized and targeted promotions to users at the optimal time.

Machine LearningSoftware DevelopmentPython

Google

Staff Software Engineer, Tech Lead Manager

Oct 2012 – Mar 2018 · 5 yrs 5 mos · Mountain View

Led the Realtime Location Quality team which used Machine Learning techniques to map noisy locations reported from mobile devices to precise visits to places such as stores and restaurants in real time. This was used all over Google in more than 100 products such as
Live Busyness (https://techcrunch.com/2016/11/21/google-can-now-tell-you-how-busy-a-place-is-before-you-arrive-in-real-time/)
Store Visits (https://techcrunch.com/2017/05/23/google-is-now-using-deep-learning-to-measure-store-visits/)
Google Assistant
Photos

Machine LearningSoftware DevelopmentPython

Facebook

2 roles

Software Engineer

Jul 2011 – Oct 2012 · 1 yr 3 mos · Palo Alto

Summer Intern

Jun 2010 – Aug 2010 · 2 mos

Developed distributed application servers for handling users’ messages and chats

University of illinois at urbana-champaign

Research Assistant

Jan 2010 – May 2011 · 1 yr 4 mos

Worldquant llc

Research Analyst Intern

Dec 2009 – Jan 2010 · 1 mo

Developed quantitative strategies for alpha-generation in equity markets

Distributed SystemsSoftware Development

Ubs

Summer Intern

May 2008 – Jul 2008 · 2 mos

Developed a system for monitoring barriers of exotic derivatives
Designed and implemented the software for analyzing daily trade-data, calculating barrier distances, and generating forewarnings and alerts for barrier breaches