Dominic Forson

AI/ML Product Manager & Data Consultant

12 + Years of Experience
330 Completed Projects

I design, ship, and scale AI/data products that deliver real business value. AI/ML product management and data consulting expert. I've led machine learning deployment, product strategy, and data engineering projects across Africa, Asia, Europe, and the US for Fortune 500 companies including BMW, Heineken, Merck, and GSK. Presented my work at the United Nations. Specializing in AI product strategy, data pipelines, ML operations, and fractional AI leadership for health tech, consumer goods, and public-interest organizations.

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AI Product

How I help

Where I create leverage

Data & ML

Data & ML Systems Engineering

Build robust data pipelines, ML evaluation frameworks, and production-grade machine learning systems that scale. Expert in data engineering, ML operations (MLOps), model deployment, and AI system architecture. Services include data pipeline development, ML model deployment, evaluation systems, and real-time ML infrastructure.

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Leadership

Fractional Product & AI Leadership

Part-time Chief Product Officer (CPO) and AI leadership services for startups and scale-ups. Hands-on fractional product management and AI strategy leadership to keep your team shipping every week. Expert in product roadmapping, AI product development, team building, and stakeholder management. Ideal for companies needing senior AI/product expertise without full-time commitment.

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Product

AI Product Strategy & Execution

Pragmatic AI product strategy that focuses on shipping, not slide decks. Get a clear product roadmap, validated v1, and execution plan that drives business outcomes. Expert in product discovery, user research, MVP development, go-to-market strategy, and product-market fit validation. Services include product strategy consulting, roadmap development, feature prioritization, and launch planning.

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AI/ML

Human-Centered AI Product Development

Build AI products that users actually love and adopt. Expert in AI UX design, human-AI interaction, conversational AI, and user-centered ML system design. Services include AI product development, NLP systems, chatbot development, AI interface design, recommendation systems, and AI-powered features that solve real user problems. Experience with healthcare AI, voice assistants, and enterprise AI applications.

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Services

Professional Skills

my Talent

Machine Learning

Expert in ML model development, deployment, and MLOps. Experience with TensorFlow, PyTorch, scikit-learn, and production ML systems for Fortune 500 companies.

92 %

Python & Data Engineering

Proficient in Python for data pipelines, ETL processes, and ML workflows. Built scalable data infrastructure handling millions of records daily.

90 %

Product Strategy

Expert in leading product strategy for AI/data products. Specialized in product discovery, roadmap development, and go-to-market strategy for B2B and B2C products.

95 %

AI Systems Architecture

Design and architect scalable AI systems, NLP pipelines, and ML infrastructure. Experience with cloud platforms (AWS, GCP, Azure) and microservices architecture.

88 %

Data Science & Analytics

Advanced analytics, statistical modeling, and business intelligence. Built data products and dashboards driving strategic decisions for Fortune 500 companies.

90 %

Team Leadership & Stakeholder Management

Fractional CPO and AI leadership experience. Expert in cross-functional team management, stakeholder alignment, and executive communication for AI initiatives.

93 %

Skills

Who I've worked with

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Selected roles & results

Highlights worth your time

Roles

Head of Digital Innovation — Landcent Europe

2024 — Present

Built R&D data products and an impact dashboard for vector‑control and diagnostics.

AI Product Manager — Mentalyc

2023 — 2024

Shipped AI features end‑to‑end and raised evaluation standards.

Market Intelligence & Data — Early Data

2019 — 2023

Led scraping and forecasting for global CPGs, including Heineken.

Results

• Introduced an impact model adopted by execs to guide funding and operations.
• Cut AI feature time‑to‑ship from months to weeks with tighter scoping and evals.
• Scaled data pipelines informing SKU‑level decisions across multiple markets.

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Resume