Vetted Computer Vision Professionals

Pre-screened and vetted.

LT

Executive Technology & Product Leader specializing in knowledge graphs and ML

25y exp
StealthMIT
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MS

Staff-level AR/VR and mobile engineer specializing in immersive video platforms

San Bruno, CA11y exp
GoogleAlexandria University

Game engineer with hands-on experience shipping systems for Horizon Worlds, including a notification platform that unlocked friending, invites, and achievement/prize UX. Also brings applied LLM gameplay experimentation, multiplayer networking/debugging expertise, and cross-platform VR/mobile experience spanning Meta Quest and Android.

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SM

Stephane Maes

Screened

Executive CTO/CPO specializing in AI, cloud, telecom, and enterprise software

California, USA31y exp
IFSUCLouvain

Chief AI Strategy at startup Zenera with 30 years in technology strategy/design, experienced in building business plans across startups and large enterprises (projects, new products, and M&A). Deeply familiar with enterprise AI go-to-market challenges (slow procurement/pilot cycles) and preparing for VC expectations (e.g., targeting a16z) by emphasizing unique tech and paying customers.

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AH

Austin Ha

Screened

Senior Software Engineer specializing in AR/VR and real-time interactive systems

Irvine, CA7y exp
AndurilSchool of Engineering and Applied Science, University of Pennsylvania

Senior engineer (8 years) with experience at Facebook/Meta and Apple, spanning design tooling and XR/enterprise device experiences. Built the Origami component marketplace end-to-end (packaging node logic + metadata, SQL/JSON storage, filtering/search, local caching) with versioning and forward-compatibility decisions, and has a strong track record of UX-focused robustness improvements and safe rollouts via feature flags and telemetry.

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HK

Hassaan Khan

Screened

Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML

San Francisco, CA21y exp
QuartechCarnegie Mellon University

Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.

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AS

Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms

Cupertino, CA19y exp
Chukravu Inc.MIT
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Aaron Harnage - Senior AI Engineer specializing in LLMs, generative AI, and ML systems in Port St. Lucie, FL

Senior AI Engineer specializing in LLMs, generative AI, and ML systems

Port St. Lucie, FL10y exp
ZooxStanford University
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SS

Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps

San Francisco, CA11y exp
SlackStanford University
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RW

Senior AI Engineer specializing in LLMs, RAG, and production ML systems

San Francisco, CA11y exp
OpenAIUniversity of North Texas
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LC

Senior Full-Stack Engineer specializing in AI-powered platforms

Haskell, TX13y exp
TeslaTexas State University
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MM

Executive Technology & IP Attorney specializing in AI, privacy, and complex transactions

Berkley, CA32y exp
VLP Law GroupStanford University
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AK

Director-level AI/ML Product Leader specializing in computer vision, robotics, and AR/VR

Santa Clara, CA18y exp
NVIDIAUC Berkeley
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CN

Staff Data Scientist specializing in machine learning, deep learning, and big data

Mountain View, CA15y exp
WaymoMIT
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ML

Junior Software Engineer specializing in AI/ML and recommendation systems

Menlo Park, CA1y exp
MetaBrown University
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AS

Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems

AZ, United States16y exp
Tempus AIUniversity of Washington
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MC

Staff Machine Learning Engineer specializing in search, ranking, and LLM systems

Seattle, WA12y exp
AppleUniversity of Maryland, College Park
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YS

Senior AI/ML Engineer specializing in LLMs, recommendation systems, and ML platforms

Seattle, WA11y exp
AmazonUniversity of Texas at Austin
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AC

Senior Full-Stack Software Engineer specializing in Mobile and AR/VR platforms

Santa Monica, CA13y exp
TikTokUC Berkeley
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CJ

Senior Full-Stack Engineer specializing in AI and GenAI platforms

Miami, FL12y exp
ChainGPTUniversity of Texas at Austin
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Bill Eichen - Executive product and business leader specializing in AI, semiconductors, and growth strategy in Palo Alto, CA

Bill Eichen

Screened

Executive product and business leader specializing in AI, semiconductors, and growth strategy

Palo Alto, CA23y exp
DeGirumMIT

Candidate indicated they have a business plan or startup and referenced Gimmelfund.com, a VC fund in Palo Alto. They also stated they are very familiar with the venture capital, studio, and accelerator landscape, but provided limited detail during the screen.

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Farabi Hassan - Principal Product Leader specializing in AI-powered enterprise and marketplace platforms in Seattle, WA

Farabi Hassan

Screened

Principal Product Leader specializing in AI-powered enterprise and marketplace platforms

Seattle, WA13y exp
ZillowYale University

Product leader with experience at Zillow, Amazon, and Chewy, focused on high-scale ML and UX-driven product improvements. Has led end-to-end rebuilds and launches that delivered measurable business impact, including a 23% conversion lift in lead routing, 40%+ reduction in delivery-related customer contacts, and 10%+ ecommerce conversion gains.

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YD

Yusuke Doi

Screened

Senior Full-Stack Engineer specializing in AI automation and observability

Remote14y exp
AnontchUniversity of Washington

Full-stack engineer with recent startup experience building AI automation products end to end, from React/Next.js interfaces to Python/FastAPI services and Dockerized deployment. Particularly strong in reliability, observability, and workflow tooling for non-technical business users, with additional experience optimizing database-backed monitoring systems at Meta.

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SB

Mid-level Machine Learning Engineer specializing in NLP, MLOps, and Generative AI

4y exp
OpenAIFlorida State University

Built and deployed a production LLM conversational AI system at OpenAI supporting chat, summarization, and semantic search at 1M+ requests/day, driving major latency (40%) and accuracy (25%) improvements through Pinecone optimization and tighter RAG with re-ranking. Also has Amazon experience improving recommendation systems by translating ML metrics into business terms to boost CTR and conversions, with strong MLOps/orchestration depth (Airflow, MLflow, SageMaker, Kubeflow).

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