Kabir Nagrecha

CEO

San Jose, California, United States8 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • CEO and co-founder of an AI startup.
  • Ph.D. at 20, specializing in deep learning efficiency.
  • Expert in performance optimization for large-scale AI systems.
Stackforce AI infers this person is a leader in AI and deep learning technologies for enterprise solutions.

Contact

Skills

Core Skills

Deep LearningArtificial Intelligence (ai)

Other Skills

CUDAOperations ResearchSystems EngineeringLeadershipResearchMachine LearningData ScienceData AnalysisProject ManagementStrategic PlanningAlgorithmsMicrosoft OfficeJavaPythonTensorFlow

About

I'm the CEO and co-founder of an AI startup working in the enterprise system-of-record space. Details to come as we launch from stealth. I used to be a research scientist with the model-system co-design team at Meta, working on performance optimizations for large-scale deep learning (ads & LLaMA). Prior to that I was at Netflix where I worked on LLMs & diffusion models for studio & recs. Previously, I finished my Ph.D. at the age of 20 from UC San Diego developing systems to make deep learning more efficient and scalable. I was advised by Arun Kumar & Hao Zhang. I enjoy deep technical problems with broad scope & room for exploration. Open to conversations on research & exciting products relating to DL/AI.

Experience

8 yrs 9 mos
Total Experience
1 yr 9 mos
Average Tenure
1 yr 8 mos
Current Experience

Tessera labs

Chief Executive Officer

Oct 2024Present · 1 yr 8 mos · San Jose, California, United States

  • Transforming enterprise operations with GenAI. Hiring across product, AI, and GTM. Reach out if you're interested!

Meta

Research Scientist

Sep 2024Oct 2024 · 1 mo · Menlo Park, California, United States · On-site

  • Efficiency & performance optimization for GenAI & ads. Model-System Co-Design team.
CUDAOperations ResearchDeep LearningSystems EngineeringArtificial Intelligence (AI)

Netflix

2 roles

Generative AI Systems Researcher

Jan 2024Sep 2024 · 8 mos

  • Research engineer developing scalable systems to support and accelerate large-scale deep learning across studio ML & recommendations at Netflix.

Machine Learning Platform Intern

Jun 2022Jan 2024 · 1 yr 7 mos

Apple

2 roles

Siri Understanding Intern

Jun 2021Sep 2021 · 3 mos · Seattle, Washington, United States

  • Developed new training pipeline for Siri audio and language models. Reduced runtimes by as much as 16X while reducing error rates by 40-50%.

Machine Learning Intern

Jun 2020Sep 2020 · 3 mos

  • Developing models for Siri’s invocation detector on Apple watches.

University of california, san diego - jacobs school of engineering

PhD Student

Jun 2021Apr 2024 · 2 yrs 10 mos · San Diego, California, United States

  • PhD student working on machine learning systems research supported by the Meta PhD Research Fellowship, as well as fellowships from the Jacobs School of Engineering and Halicioglu Data Science Institute.

University of california san diego

Undergraduate Research Assistant

Sep 2019Jun 2021 · 1 yr 9 mos · San Diego, California, United States

  • Researcher solving problems in machine learning. Fields of focus include model parallelization, compute-limited tasks, and model explanation systems.

Dermalogica

2 roles

Software Engineer Intern

Jun 2019Aug 2019 · 2 mos · Carson, California, United States

  • Developed ML models for facial analysis and product recommendation.

Software Intern

Jun 2018Aug 2018 · 2 mos · Carson, California

California state university-los angeles

Undergraduate Researcher

Aug 2017Sep 2019 · 2 yrs 1 mo · Los Angeles Metropolitan Area

Education

UC San Diego

Bachelor's degree — Computer Science

Jan 2019Jan 2021

UC San Diego Jacobs School of Engineering

Doctor of Philosophy - PhD — Computer Science

Jun 2021Jun 2025

California State University, Los Angeles

Bachelor of Science - BS — Computer Science

Jan 2017Jan 2019

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