I build scalable AI platforms, workflow infrastructure, and operational systems at the intersection of product strategy, machine intelligence, and human oversight. Over the past decade I've led products across AI SaaS, live-streaming infrastructure, digital-twin systems, community platforms, and high-scale operational environments.
AI infrastructure, decision systems, and operational tooling for complex workflows.
AI-assisted application infrastructure for high-stakes workflows. iApply is a structured AI workspace for applications, grants, admissions, and formal submissions — combining intelligent drafting, workflow tracking, and human-controlled review systems.
The platform focuses on transparency, operational trust, and compliance-aware interaction design: AI-assisted drafting with human approval, structured workflow management, document version tracking, explainable output generation, GDPR-aware architecture, and EU AI Act aligned interaction patterns. Designed as an operational AI system rather than autonomous automation — emphasizing controllability, auditability, and user oversight throughout the application lifecycle.
Visit projectPrototype platform for transparent audit and compliance workflows. The system combines rule-mapping infrastructure, procedural analysis, document intelligence, and AI-assisted resolution guidance to help users explore permits, rulings, and regulatory processes in a structured and explainable way.
Core features include document upload workflows, pseudonymization pipelines for AI safety compliance, traceable rule mapping systems, human-in-the-loop review processes, and actionable procedural guidance. Designed as a transparency and explainability layer for complex administrative and regulatory environments.
Visit projectSemantic retrieval and research interface built around the complete Swedenborg corpus. The system combines RAG architectures, multilingual retrieval pipelines, glossary-grounded generation, and structured citation systems to support long-context exploration across more than 30 volumes.
Built as an experiment in AI-assisted research interfaces, semantic navigation, and knowledge retrieval over highly interconnected textual domains.
Open the appProduct leadership roles at scale: from startup infrastructure to enterprise operations, live events to AI systems.
Built an AI-powered broadcasting and event intelligence platform with 900+ active users within two months of MVP launch. Led product strategy, RAG implementation, evaluation systems, and enterprise pilot partnerships.
Led product delivery for a Digital Twin SaaS platform combining CAD analysis, ML-assisted similarity systems, and engineering intelligence workflows. Improved delivery velocity by 25% and supported acquisition of the first enterprise customer.
Built and scaled a live-streaming and social media platform supporting large-scale events with over 50,000 participants. Managed product strategy, monetization systems, operational delivery, and enterprise partnerships.
Worked on ultra-low-latency streaming infrastructure and SDK productization for international enterprise clients including NBC and CBC. Focused on delivery, licensing strategy, and streaming platform operations.
Decision-critical systems fail when they hide their logic. Explainability and operational transparency aren't optional — they're first-class product requirements.
Users and businesses don't care about the architecture. They care about consistency, auditability, and predictable failure modes. The best AI systems feel boring to use.
AI in regulated or high-stakes environments isn't automation — it's tooling. The interface between AI output and human decision-making is where product strategy lives.
Model performance matters less than data pipelines, evaluation systems, and operational feedback loops. Sustainable AI products are built, not found.
Matthew brought structure and stability to technically complex environments while keeping teams aligned under real operational pressure.
Matthew combines strategic product thinking with strong technical execution and consistently delivered solutions that improved engagement at scale.
He approaches systems-level problems with genuine depth — the kind of product thinking that turns complexity into usable products.