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Anant Gupta

Senior Software Engineer

Mountain View, California, United States7 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 5+ years in recommendation systems at Google
  • ICCV Best Paper Award recipient
  • Expert in large scale AI/ML applications
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven recommendation systems.

Contact

Skills

Core Skills

Machine LearningLarge Language Models (llm)

Other Skills

Synthetic data generationUser modelingPersonalized retrievalRankingPersonalizationUser-relevance modelingCollaborationAd qualityDeep learningImage segmentationDocument summarizationWriting assistanceAlgorithmsComputer VisionPython (Programming Language)

About

5+ years of experience building on-device and large scale recommendation systems at Google: - Pixel AI: LLMs/diffusion models to generate synthetic training data for on-device models. - Search User Modeling: Sequence encoder models, Gemini-based generative retrieval to boost personalization in Google Search and Discover. - Youtube Ads: Ad relevance modeling using LEMs and LLMs + efficient distillation techniques. I graduated with a Master's from the University of Wisconsin-Madison, where I worked on computational methods for 3D imaging using single photon cameras (https://scholar.google.com/citations?user=G1J6XpgAAAAJ&hl=en). Received an *ICCV Best Paper Award* (Honorable Mention). Professional service: Reviewed 13 papers for NeurIPS, ICML and ICCP.

Experience

7 yrs 7 mos
Total Experience
2 yrs 6 mos
Average Tenure
6 yrs 3 mos
Current Experience

Google

2 roles

Senior Software Engineer

Nov 2023Present · 2 yrs 6 mos · Mountain View, California, United States

  • (Feb 2025 - present)
  • Synthetic data generation using Gemini/Imagen for training robust on-device models.
  • (Jan 2024 - Feb 2025)
  • User modeling to enable personalized retrieval+ranking in Google Search and Discover.
Synthetic data generationUser modelingPersonalized retrievalRankingMachine LearningLarge Language Models (LLM)

Software Engineer

Feb 2020Nov 2023 · 3 yrs 9 mos · Mountain View, California, United States

  • Tech lead for user-relevance modeling across the whole YouTube ads quality stack and all surfaces.
  • Responsible for delivering on relevance goals and driving collaboration with partner teams.
User-relevance modelingCollaborationAd qualityMachine Learning

Amazon lab126

Applied Scientist Intern

May 2019Aug 2019 · 3 mos · Sunnyvale

  • Researched deep learning methods for solving a novel variant of the image segmentation problem (co-segmentation).
Deep learningImage segmentationMachine Learning

Google

2 roles

Software Engineer

Jun 2016Jul 2017 · 1 yr 1 mo · Bengaluru Area, India

  • As part of the Docs intelligence team, I developed new features for document summarization and writing assistance for Google’s suite of cloud editors.
Document summarizationWriting assistanceMachine Learning

Software Engineering Intern

May 2015Jul 2015 · 2 mos · Mountain View

Tu braunschweig

Research Intern

May 2014Jul 2014 · 2 mos

Education

University of Wisconsin-Madison

Master of Science - MS — Computer Science

Jan 2017Jan 2019

Indian Institute of Technology, Bombay

Bachelor of Technology (BTech) — Computer Science

Jan 2012Jan 2016

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