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Vetted Computer Vision Professionals

Pre-screened and vetted.

JT

Intern Software Engineer specializing in data engineering and LLM evaluation

Seattle, WA1y exp
AmazonUC Berkeley
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ZZ

Senior Applied Scientist specializing in LLMs, GenAI systems, and AutoML

New York, NY8y exp
AmazonUniversity of Pennsylvania
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RR

Junior Robotics Perception Engineer specializing in computer vision and autonomous navigation

Boston, MA2y exp
SymboticGeorgia Tech
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PK

Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems

TX, USA3y exp
MetaUniversity of Texas at Arlington
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RR

Intern Machine Learning Engineer specializing in optimization, federated learning, and LLMs

California, USA1y exp
MicrosoftUC Irvine
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VR

Mid-level Technical Solutions Architect & Technical Operations Manager specializing in AI automation

4y exp
United Parks & ResortsDartmouth College
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CC

Intern Hardware/Robotics Engineer specializing in autonomous systems and test automation

Taipei, Taiwan1y exp
GoogleUC San Diego
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SR

Intern Robotics Software Engineer specializing in perception and ML systems

San Francisco, CA0y exp
Nimble RoboticsCarnegie Mellon University
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KS

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

CA6y exp
PerplexityVirginia Tech
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RR

Intern Software Engineer specializing in AI/ML and cloud systems

San Francisco, CA3y exp
Scale AIGeorgia Tech
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PT

Intern Software Engineer specializing in full-stack and cloud infrastructure

Menlo Park, CA2y exp
MetaUC Riverside
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KG

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps

Bay Area, CA5y exp
MicrosoftSUNY Polytechnic Institute
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PM

Intern/Junior Robotics & Controls Engineer specializing in autonomy and embedded systems

Stanford, CA1y exp
SymboticStanford University
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RC

Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting

Newark, CA10y exp
OutlierUC Berkeley
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NK

Intern Data Scientist specializing in machine learning and trustworthy AI

Newark, NJ1y exp
AmazonCarnegie Mellon University
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SS

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems

California, USA5y exp
Google DeepMindUniversity of North Texas
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HS

Senior Data Scientist specializing in large-scale ML systems and recommendations

Fremont, CA14y exp
Credit KarmaUniversity of Illinois Urbana-Champaign
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RN

Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems

USA5y exp
ShopifyCalifornia State University
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JS

Joshua Seiden

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in emerging tech commercialization

Centennial, Colorado33y exp
AT&TUniversity of Colorado Boulder

Startup operations/product advisor and long-time accelerator mentor who has helped multiple early-stage companies become enterprise-ready—shifting teams to customer-driven roadmaps and implementing CI/Agile delivery processes. Notably supported an Israeli company in landing a Fortune 30 customer before it later IPO’d on NASDAQ, and helped an Australian startup operationalize delivery to secure deployment with a major telecom and sports league.

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CH

Junior Robotics Engineer specializing in autonomous systems and controls

Philadelphia, PA6y exp
University of PennsylvaniaUniversity of Pennsylvania

Robotics software engineer/research lead building an off-road mobile base, owning system integration across mechanical/electrical/embedded and developing controls + motion planning deployed from simulation to hardware with ROS 2/ROS 2 Control. Has deep ROS 2 experience (NAV2, MoveIt) and built a GridMap-based off-road elevation-to-traversability mapping stack using nonlinear optimization; also tuned real robots using Vicon and developed a quadcopter geometric/PID controller.

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RB

Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps

San Francisco, USA6y exp
ATLANTIA SpaUniversity of Bologna

LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.

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HK

Harish Kasu

Screened

Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps

San Francisco, CA5y exp
NVIDIATexas A&M University-Kingsville

AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.

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