Wesley McCoy Ferguson
Richmond, VA · (804) 380-9149 · wesmccoy23@gmail.com
Education
Charlottesville, Virginia
B.S. in Commerce (Information Technology and Finance), Track in AI / Data Analytics, Engineering Business Minor
Relevant Coursework: Product & Project Management, Data Structures & Algorithms, New Product Development, Topics in Business Analytics — ML/AI with Python, Full-Stack Software Engineering
Professional Experience
Product Engineer
Built early MVP integrating 18 external services using React, TypeScript, Supabase, and Python to prototype an agentic operating system. Ran discovery and usability testing with 17 founders and product leaders, translating feedback into system architecture and feature roadmap. Led full stack development and product execution from prototype through MVP, coordinating architecture, testing, and iteration cycles.
Product Manager (Student)
Conducted 20 interviews across 3 housing segments to define product requirements, producing 3 personas and 1 PRD that guided system design for city housing planners. Built full stack MVP using Next.js and Supabase, designing database schema, tagging, and manual search indexing to structure citywide housing blueprint library. Translated user research into product architecture adopted by the City of Charlottesville to support future affordable housing development.
Charlottesville, Virginia
Investment Associate
Conduct technical and product analysis of Web3 protocols and crypto startups, evaluating on-chain data, token economics, protocol architecture, and incentive mechanisms to inform real-money investment decisions across a $300K portfolio.
Product Lead (Student)
Led product strategy for AI financing platform with 5 person team, defining MVP and prioritizing 4 core features targeting Gen Z buyers. Built KPI and financial impact model projecting $70M NPV and 692% IRR to evaluate product viability. Designed go to market and experimentation plan forecasting 1306% ROI and presented product roadmap to executive stakeholders.
Boston, Massachusetts
Product Strategy Intern
Supported product and go-to-market strategy for an AI-driven fintech platform by building financial and unit economics models, analyzing competitive products, and evaluating pricing, onboarding, and distribution tradeoffs used in investor and roadmap discussions with founders.
Cape Town, South Africa
Venture Capital Analyst Intern
Built comprehensive financial models adopted by management forecasting over $26M in annual revenue for a high growth startup, including 3-statement projections and ROI sensitivity analyses.
Evaluated and presented strategic entry into the U.S. and South African markets to guide expansion and investor positioning.
Skills
Product & Strategy: Product Discovery, Dual Track Agile, Roadmapping, Feature Prioritization, MVP Definition, User Research, Stakeholder Management, Product Lifecycle Management
Technical Skills: JavaScript (React / TypeScript), Python (ML/AI), SQL, Data Modeling
Personal interests: Sociology, Artificial Intelligence, Surfing, Snowboarding, Running, Travel, Pickleball