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Vetted Data Science Professionals
Pre-screened and vetted.
Joseph Coleman
Executive Technology Leader specializing in cloud-native platforms and AI
“Building a confidential startup in the software security space (no capital raised yet). Has been learning the VC/accelerator landscape through a network of founders and independent research, with a focus on investor readiness and relationship-driven access to VCs. Motivated to found due to repeated layoffs and late-stage hiring pauses, seeking more control while prioritizing family financial stability.”
Allen von Pallandt
Director-level Product Leader specializing in AI SaaS learning platforms
“Group Product Manager / Senior Product Manager in edtech who led the first AI feature at Imagine Learning: an AI-assisted grading and feedback capability for EdgeEX that improved teacher turnaround time by 28%. Brings a strong human-in-the-loop AI philosophy, deep educator workflow insight, and experience scaling products across cross-functional teams, UX redesigns, and state-specific curriculum strategy.”
Vishnu Mukundan Thanikunathe Manoj
Junior AI/ML Engineer specializing in LLM agents, explainable AI, and computer vision
“Robotics/computer-vision engineer with industrial safety monitoring experience, building real-time pose estimation (TRTPose) and 2D-to-3D localization and optimizing pipelines to sustain 30+ FPS under heavy multi-entity load. Also brings edge-to-cloud distributed systems work (HoloLens + Google Vision/Translation) and production ML deployment experience using Docker/CI/CD across finance and edge camera environments.”
Adam Guerra
Director-level Product & Technology leader specializing in SaaS platforms
“Product leader with a rare cross-industry track record spanning fire departments, supply chain analytics, renewable energy, and staffing. They have led complex zero-to-one and migration-heavy product launches, including shipping 3 new public-safety products during COVID, driving 7x faster customer migrations and major revenue uplift, while also commercializing ML-powered analytics products that increased ARR.”
Intern Machine Learning Engineer specializing in LLM agents and RAG systems
Executive Technology Strategist & Chief Architect specializing in enterprise digital transformation
Mid-level Data Analyst specializing in growth, product, and healthcare analytics
Intern AI Engineer specializing in agentic RAG systems and computer vision
Executive CTO and AI leader specializing in enterprise SaaS and generative AI
Mid-level Data Scientist specializing in global health and clinical decision support
Senior Sales Operations and Data Analytics leader specializing in advertising performance
Junior Software Engineer specializing in cloud platforms and backend security
Executive Product & Digital Transformation Leader specializing in AI, Data Platforms, and Enterprise SaaS
Senior Software Engineer specializing in cloud-native distributed systems and AI/ML platforms
Junior Software Engineer specializing in cloud infrastructure and full-stack development
VP of Engineering specializing in platform, microservices, and consumer marketplaces
Mid-level AI/ML Engineer specializing in GenAI, MLOps, and big data on cloud platforms
Junior Software Engineer specializing in AI, distributed systems, and recommendation systems
Principal Machine Learning Architect specializing in AI platforms and data science
Intern AI/ML Engineer specializing in generative AI and multimodal agentic systems
Executive AI Engineering Leader specializing in research-to-production LLM systems