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Vetted Data Science Professionals
Pre-screened and vetted.
Jack Ahn
Executive Technology & R&D Leader specializing in Generative AI and Digital Health
“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”
Senior Management Consultant specializing in pharma, healthcare, and AI-driven transformation
Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Senior Machine Learning Engineer specializing in large-scale AI systems
Executive business & product operations leader specializing in AI, growth, and venture-backed scaling
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.”
Kaye Kirschner
Director-level product leader specializing in AI, data, and FinTech products
“Product leader at Mastercard who has repeatedly built and commercialized AI-driven fraud products across payments and healthcare, including a patented ML approach and a fraud suite that won 30+ enterprise customers in its first year. Stands out for combining deep ML product judgment with workflow design, explainability, and human-in-the-loop thinking to drive real operational change.”
Franklin Dickinson
Senior Data Scientist specializing in product analytics and applied AI
“Product data scientist at Meta who also built Fogo, a personal finance app, as a solo developer with a React/FastAPI/Postgres stack and sophisticated LLM evaluation infrastructure. Particularly strong in AI backend quality systems, experimentation, and production decision-making around model cost, latency, and reliability.”
Executive Operations & Program Management Leader specializing in Legal Ops and Tech
Mid-level Software Engineer specializing in backend, infrastructure, and data platforms
Executive technology leader specializing in AI, data science, and product engineering
Executive Technology Leader specializing in AI/ML and Cloud Transformation
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior Software Engineer specializing in AI/ML infrastructure and GenAI
Principal Data Scientist specializing in Generative AI and security analytics
Principal Site Reliability Engineer specializing in cloud, DevSecOps, and platform reliability
Senior AI/ML Engineer specializing in generative AI and recommendation systems
Jeffrey Xuzhang
Junior Software Engineer specializing in full-stack and cloud systems
“Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.”
Executive technology leader specializing in SaaS, AI/ML, and cloud platforms
Alan Lin
Junior financial engineering analyst specializing in portfolio analytics and data science
“Financial engineering analyst at BlackRock who has built internal data products for thousands of sales users, including an end-to-end fund comparison system that combines internal and third-party data into compliance-approved PDFs. Brings a mix of data engineering, stakeholder-heavy delivery, and emerging AI experimentation, with current work focused on regression testing and Snowflake-based portfolio data automation.”
Mark Risis
Executive Data & Marketing Science Leader specializing in data strategy and partnerships
“Entrepreneur building a mental healthcare solution (business plan + prototype; no capital raised yet) targeting therapists and patients. Former Fortune 50 leader who drove a multi-year digital transformation from stakeholder discovery through funding and execution, and previously scaled a data monetization offering by securing 20+ channel partnerships and investing in partner enablement and brand awareness.”