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Vetted TensorFlow Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in AI systems and real-time distributed platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Staff Data Scientist specializing in machine learning, deep learning, and big data
Junior Software Engineer specializing in AI/ML and recommendation systems
Executive AI/ML Engineer specializing in LLMs, NLP, and production ML systems
Staff Software Engineer specializing in ML infrastructure and data platforms
Senior AI Engineer specializing in NLP and large language models
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Mid-Level Software Engineer specializing in Search, Ads, and Shopping systems
Senior Software Engineer specializing in AI infrastructure and distributed systems
Staff Machine Learning Scientist specializing in NLP, LLMs, and Generative AI
Senior Software Engineer specializing in full-stack systems and ML-driven platforms
Staff AI/ML Engineer specializing in LLMs, fraud detection, and MLOps
Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines
Senior Full-Stack Software Engineer specializing in AI-powered distributed systems
Chase Bradley
Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure
“ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.”
Jesse Olson
Executive AI technology leader specializing in agentic AI and enterprise transformation
“Candidate is exploring a startup in the autonomous agentic AI space and is approaching it with a disciplined founder mindset. They are evaluating market opportunity, competition, customer pain, ROI, technical feasibility, and MVP options while already speaking with potential customers across verticals to validate needs and buying processes.”
Andrew Coven
Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms
“Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.”
Kevin Wang
Senior Software Engineer specializing in cloud infrastructure and distributed systems
“Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.”