Vetted Data Science Professionals

“Fractional CTO and AI/ML consultant at Clover Health with deep insurance domain experience (15 years as CTO/CISO/AI). Has spent significant time in PE/VC-backed environments (including Aquiline Capital Partners and Apollo Group), designing and engineering platforms while delivering against budgets, audits, and regulatory compliance. Recently helped build an insurance startup (2020–2025) and is now seeking a full-time role at a startup.”

“25+ year professional exploring entrepreneurship; previously helped develop corporate venture capital at Siemens and AVEVA and ran end-to-end diligence through deal close, with heavy technical diligence on pre-seed/pre-revenue companies. Interested in building an AI-enabled hard lending/origination approach to reduce decision-to-close time and scale in a large lending market, and prefers VC studio/EIR models with paid roles rather than equity-only arrangements.”

“Veteran product leader with major enterprise impact across Cisco and Oracle NetSuite, including leading a broadband platform that grew to over $1B in annual revenue and driving AI/ML initiatives that doubled ARR. Particularly strong in customer-informed product strategy, cross-functional alignment, service model redesign, and human-centered AI applications.”

“Senior engineering leader with a rare blend of deep platform/infrastructure expertise and large-scale people leadership, spanning hands-on cloud-native architecture through management of globally distributed organizations of up to roughly 180 engineers. Particularly strong in Kubernetes platform modernization, reliability engineering, and scaling high-throughput SaaS systems while aligning platform investments to customer and business outcomes.”

“Operations/finance transformation leader with experience in large healthcare organizations (e.g., PacifiCare and KP), brought in to stabilize and modernize operating cadence during high-change periods. Known for applying lean/agile methods (value-stream mapping, 2-week sprints, kanban, RACI) to build KPI single-sources-of-truth and scalable analytics operating models, delivering 40%+ cycle-time/rework reductions and improved forecasting/decision velocity.”

Yishi Wang

Screened

Junior Machine Learning & Data Science professional specializing in LLMs and analytics

Chicago, IL3y exp

“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”

“Product leader with a rare mix of healthcare, AI, and eCommerce experience who led Health iPASS's emergency COVID-era rebuild from in-clinic kiosks to a mobile patient platform in just three months, ultimately driving 40,000 daily patient touchpoints and over $100M in payments. Also built an AI-powered clinical call-center training product at Grapefruit Health and brings a deeply human-centered perspective shaped by education-focused volunteer work with BuildOn and Hack the Hood.”

Howard Ogawa

Screened ReferencesStrong rec.

Executive product leader specializing in e-commerce, marketplaces, and direct-to-consumer platforms

California, USA19y exp

“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.”

“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.”

Rom Manzano

Screened

Executive technical founder and full-stack engineer specializing in AI, SaaS, and FinTech

New York, NY15y exp

“Engineer coming out of a venture studio as it winds down, now seeking another zero-to-one environment with strong studio support and go-to-market playbooks. They show a thoughtful founder mindset centered on rapid shipping, design-partner validation, lean execution, and testing whether users will actually pay for a workflow-specific solution.”

Bianca Polycarpe

Screened

Executive Chief of Staff specializing in consumer brands, finance, and operations

New York, NY10y exp

“Operator with a rare mix of investor/analyst roots and hands-on merchandising, demand planning, and chief-of-staff leadership across startups and major beauty brands like Chanel and Jones Road. She has led complex cross-functional initiatives from global inventory reallocation to international market launches, including a Europe expansion that generated $10M in first-year incremental revenue.”