Sarvjeet Singh

CTO

Mountain View, California, United States17 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led innovative GenAI monetization efforts at Google.
Pioneered Conversational Recommendations in Google Research.
Designed automated bidding systems enhancing advertiser ROI.

Stackforce AI infers this person is a Machine Learning and AI expert in the Advertising and Media industries.

Contact

sarvjeet_s@yahoo.com LinkedIn

Skills

Core Skills

Machine LearningSoftware Engineering

Other Skills

Agentic AIAgile MethodologiesAlgorithmsCC++Computer ScienceConversational RecommendationsData AnalysisDeep learningDistributed SystemsGeminiGenAIGraph-based algorithmsJavaJavaScript

Experience

17 yrs 6 mos

Total Experience

5 yrs 10 mos

Average Tenure

9 yrs 2 mos

Current Experience

Google

2 roles

Principal Engineer, Google Ads

Jul 2025 – Present · 11 mos

Leading GenAI experiences monetization and innovation for Ads focusing on GenAI. My work currently focuses on multi-modal understanding/generation, Agentic AI (including AI agents), and post-training LLM/Gemini for ad-specific applications.

GenAImulti-modal understandingAgentic AIpost-training LLMGeminiMachine Learning+1

Director of Engineering, Google Research

Apr 2017 – Aug 2025 · 8 yrs 4 mos

Founder and lead of Conversational Recommendations (ConvRec) effort in Google Research that is working on problems in the area of Recommendations, Natural Language Understanding, Speech and Simulations. My team partners with teams in Google Research, YouTube, Assistant, Cloud and Search orgs.
My work is focused on human-centric AI deployment in products. Inside Google research, we focused on solving research and engineering challenges that would enable users to exert a lot more agency (control) on their recommendation journeys across Google products.

Conversational RecommendationsNatural Language UnderstandingSpeechSimulationsMachine LearningSoftware Engineering

Youtube

Senior Staff Software Engineer

Nov 2015 – Mar 2017 · 1 yr 4 mos · Mountain View, CA

Worked in YouTube Community as the Uber TL / ATL for Machine Learning. Led a number of projects inside YouTube to delight our users through the use of next gen Machine Learning / AI. Community, comments, notifications and Abuse are some of the key product areas that I focussed on. In terms of technologies, currently I along with my teams rely on a lot on NLP, Deep learning, Matrix factorization, Logistic regression, Graph-based algorithms, algorithms built on top of embedding models, etc.

Machine LearningNLPDeep learningMatrix factorizationLogistic regressionGraph-based algorithms+1

Google

3 roles

Senior Staff Software Engineer / Tech Lead Manager

Oct 2012 – Oct 2015 · 3 yrs · Mountain View, CA

I led a team in Google Research in the area of large-scale user personalization and recommendations. Under my leadership, the team launched a number of high impact Machine learning algorithms in various Google properties such as YouTube, Play Store, Ads, Google+, Music, Google Now.

Machine Learninguser personalizationrecommendationsSoftware Engineering

Staff Software Engineer / Tech Lead

Jan 2009 – Oct 2012 · 3 yrs 9 mos · Mountain View, CA

I led a team that worked on maximizing advertiser's ROI through automated real-time bidding algorithms in Ads. I helped design and launch a number of automated bidding products including Conversion optimizer (Target CPA) & Enhanced CPC that added a significant amount of revenue (XXB$) to Google's Ad business.

automated bidding algorithmsreal-time biddingadvertiser ROIMachine LearningSoftware Engineering