Amarjot Singh

Co-Founder

San Francisco, California, United States3 yrs 5 mos experience

Key Highlights

  • Led AI operations for enterprise LLMs.
  • Founded a company for sports analytics.
  • Developed diagnostic algorithms in healthcare.
Stackforce AI infers this person is a leader in AI and machine learning across healthcare and sports analytics.

Contact

Skills

Other Skills

Natural Language Processing (NLP)Cloud ComputingFigma (Software)ResearchPython (Programming Language)JavaScriptJavaC++RMachine LearningLinuxMySQLReact.jsNode.jsExpress.js

About

We are currently in the midst of an AI revolution and the potential for innovation has never been greater. I have been working with different machine learning systems for several years now and if there is one thing I learned -- the impossible is always just one discovery away. Much of my early work had started off at the intersection of medicine and machine learning. I initially worked with generating diagnostic algorithms for histopathology at UCLA Health. I transitioned into working in the private industry afterwards, creating ML and NLP powered compilers for React at Bifrost. Later, I founded a company called Nexavision where I lead a team of engineers to craft AI/CV pipelines to track basketball players. We sold this data to NBA teams and also crafted sharp odds to sell to sportbooks. Finally, over the past year, I built large scale systems to curate datasets for diffusion models, along with the infrastructure to train them over clusters of H100s at Lexica. As of recent, I have started working with Inference.net as the Head of AI to train enterprise LLMs, along with lots of exciting open source work.

Experience

3 yrs 5 mos
Total Experience
1 yr
Average Tenure
1 yr
Current Experience

Inference.net

Co-Founder

Jun 2025Present · 1 yr · San Francisco Bay Area · On-site

  • Head of all AI operations. Training models for enterprises, publishing AI research, and leading a team to push the frontier in high throughput LLMs

Lexica

AI Researcher

Jan 2025Jun 2025 · 5 mos · San Francisco Bay Area · Hybrid

  • Training large scale image and video diffusion models, along with curating PB scale datasets

Nexavision

Founder

Jun 2023Jan 2025 · 1 yr 7 mos · San Francisco Bay Area · Hybrid

  • Tracking basketball games and generating advanced analytics using only broadcast video. Selling data to NBA teams, and crafting sharp odds for sportbooks.

Mysterious (yc w22)

Lead AI Engineer at Bifrost

Jan 2023Mar 2024 · 1 yr 2 mos · San Francisco Bay Area · Hybrid

  • Using Natural Language Processing to automatically turn Figma designs into functional React code at Bifrost (formally known as Mysterious)

Ucla computational diagnostics

AI Researcher

Aug 2021Jun 2022 · 10 mos · Los Angeles, California, United States · Hybrid

  • Designed new tools to extend the state of the art in digital pathology and histopathological image analysis.

Orsulic lab

AI Researcher

Jul 2021Mar 2024 · 2 yrs 8 mos · Los Angeles, California, United States · Remote

  • Creating deep learning vision models to detect and extract features from ovarian cancer to identify phenotypes related to disease survival.

Education

UCLA

Molecular

Sep 2018Jun 2022

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