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Vetted Machine Learning Professionals
Pre-screened and vetted.
Executive product leader specializing in AI/ML, cloud infrastructure, and energy technology
Executive AI/ML Cloud Architect specializing in enterprise and humanitarian AI systems
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems
Executive engineering leader and full-stack engineer specializing in FinTech and AI platforms
Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI
Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Director-level Strategy & Operations leader specializing in transportation and consulting
Director of Platform specializing in go-to-market and portfolio value creation
Senior AI Engineer specializing in machine learning, NLP, and generative AI
Executive technology leader specializing in cloud platforms, AI, and enterprise architecture
Sumer Joshi
Senior Full-Stack Engineer specializing in backend systems and AI applications
“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”
Steve Black
Principal Product Manager specializing in consumer engagement, AI, and connected fitness
“Product leader with experience across Nike, Adidas, Bowflex, and startups, including serving as the first digital product hire at FluidLogic. Stands out for launching a connected hardware-plus-software product from zero to one in just 90 days, while also building AI-powered consumer features and aligning the entire company around digital strategy.”
Howard Ogawa
Executive product leader specializing in e-commerce, marketplaces, and direct-to-consumer platforms
“Senior product leader with high-scale marketplace and commerce experience at Ticketmaster and GOAT, spanning checkout, CX automation, logistics, fraud, payments, and catalog. Stands out for pairing rigorous experimentation and measurable business impact—including $60M+ incremental revenue and major conversion gains—with a thoughtful human-centered AI philosophy and a strong track record of building and promoting PM teams.”
Akshat Shah
Entry-level Software Engineer specializing in full-stack and AI systems
“Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.”
Pankaj Gupta
Executive engineering leader specializing in AI, data infrastructure, and cybersecurity
“Senior engineering leader with deep hands-on experience building and scaling high-throughput platform infrastructure, including a Qualys core data platform using Kafka, Cassandra, OpenSearch, Ceph, and API gateways. He combines architecture depth with people leadership, and has led complex cross-team initiatives such as rolling out a Kubernetes-based container platform across 20 application teams using a phased migration strategy.”
David Besemer
Executive Technology Leader (CTO/VP Engineering) specializing in enterprise AI and data platforms
“Freelance CTO with a track record of founding and building early web products, including an award-winning baby website creation platform that was acquired by eStyle after gaining traction via retail/mail-order distribution and PR. Also built a sports event text-alert product, engineering around missing data APIs via a replaceable scraping layer.”
Yanis Liaskos
Executive Technology Leader (CTO/CPO) specializing in AI, robotics, and warehouse automation
“VP/CTO-level leader who builds globally distributed engineering organizations and operating systems (SAFe, governance, real-time metrics) to align product, engineering, and executives. Drove a security modernization initiative in a robotics context using Achilles and Polaris, remediating vulnerabilities and upgrading libraries to achieve a cyber certification that was ahead of industry norms.”
Rashi Agrawal
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Yuan-Hsuan Wen
Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems
“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”
Christopher Bun
Executive AI/ML technology leader specializing in healthcare, biotech, and legal AI
“Repeat founder and startup advisor with experience spanning academic, health tech, legal tech, sports, and gaming. Has participated in fundraising and due diligence and has built companies, engineering teams, and software platforms from scratch, with a strong product-design-first approach to product-market fit and market selection.”
Arun Ganesh
Junior Software Engineer specializing in healthcare AI and cloud infrastructure
“Amazon Health AI engineer who has owned both full-stack clinical product features and production LLM systems end to end. Built HIPAA-compliant GraphQL and agentic RAG architectures for provider workflows across 125,000+ patients, with measurable impact including 30% higher clinical relevance, 55% lower lookup time, and 12% less false medical information.”