I design and prototype intelligent systems for finance — where data, AI, and human decision-making meet.
My work focuses on building products that help people make better decisions in complex environments such as investing, financial markets, and digital platforms.
Signal transforms raw product feedback into structured roadmap work. Slack messages and GitHub issues are ingested in real time, scored for sentiment and urgency using AI models, clustered into emerging themes, and converted into structured product epics ready for tools like Linear or Jira.
Try live demo →
Prism is an AI-assisted portfolio intelligence engine for Canadian investors. A deterministic optimisation model evaluates potential portfolio actions and surfaces the single highest-expected-value move. Investors can then explore the reasoning through natural-language follow-up questions.
Try live demo →The Lab is where I explore ideas in artificial intelligence, finance, and product systems. Most of these begin as small prototypes, thought experiments, or technical investigations into how intelligent software could improve decision-making.
Exploring how LLM-based pipelines can transform unstructured product feedback into structured insights. This includes experiments in signal ingestion, sentiment scoring, pattern detection, and converting qualitative feedback into opportunities product teams can act on.
Research into deterministic optimisation systems for personal finance and investing. I’m interested in how algorithms can evaluate portfolio actions such as rebalancing, tax-loss harvesting, account optimisation, and capital deployment in a transparent and explainable way.
Investigating how organisations can benchmark AI models before deploying them into financial workflows. Focus areas include reasoning accuracy, hallucination detection, financial calculation reliability, and structured evaluation environments for decision-support systems.
Experimenting with systems that aggregate geopolitical events, market signals, and macroeconomic developments into clearer intelligence for analysts and investors. As part of a team, I contributed to World Monitor, an open-source OSINT application (GitHub). With a background in international studies and diplomacy, I find the intersection of structured intelligence and technology fascinating.
I’m fascinated by systems that convert complex data into useful decisions. Many of the most interesting products today are not simple applications, but decision engines — systems that interpret signals, apply logic, and help humans decide what to do next.
A system for turning raw product feedback into strategic product insight.
Turn fragmented customer signals into clear product priorities.
A system for analysing portfolios and surfacing the most valuable next action.
Help investors make better financial decisions using structured analysis.
I’m interested in the gap between what technology could do for people and what it actually does. My career has moved through three domains that all revolve around data, systems, and decisions: financial markets, digital health, and AI-driven investing tools.
I began working in fintech in London across FX, payments, and trading platforms before moving into digital health in Canada, where I worked on connected healthcare systems and clinical data platforms.
Today I work on the future of self-directed investing at CIBC Investor’s Edge, focusing on personalisation systems, AI-assisted product features, and intelligent client journeys.
How do we turn complex data into decisions humans can trust?
Outside work, I enjoy golf, cooking Sunday roasts, following the rugby, and renovating a house in Toronto with my wife Natalie.
Focus Areas
I’m thinking deeply about the future of building in a world of AI-driven development. Particularly how product teams will evolve into a new age of AI-augmented work — where the craft of product management shifts from coordination to judgement, and the tools we use become collaborators rather than utilities.
People shaping my thinking
Boris Cherny
Engineering leader exploring how AI changes the way software gets built.
Lenny Rachitsky
Writes the top-rated Lenny’s Newsletter on Substack, focusing on tactical execution, growth, and product strategy.
Melissa Perri
Author of The Build Trap and founder of Product Institute; focuses on scaling product organisations.
Marty Cagan
Founder of Silicon Valley Product Group and author of Inspired and Empowered.
Senior Product Manager
Building AI-assisted investing tools and personalisation systems for Canada’s self-directed investors. Focused on improving how clients understand portfolios, opportunities, and market signals.
Manager, Connected Health & Intelligent Systems
Led product strategy and development for connected healthcare platforms integrating device data, analytics, and mobile applications to support clinical decision-making.
Associate Product Manager — Global Trading Platforms
Worked on trading infrastructure and digital product experiences supporting institutional and retail financial markets.
Product Analyst
Focused on fintech payments infrastructure, FX products, and digital financial services.
Updated March 2026
MA International Studies & Diplomacy
SOAS, University of London
Focused on international economics, international law, and global political systems. Also received media training delivered by the BBC.
MA (SocSci) Business & Management
University of Glasgow — Adam Smith Business School
Collaborated with Accenture on a wealth management research project analysing the impact of UK Open Banking (PSD2).
Always open to interesting conversations about product, fintech, artificial intelligence, and intelligent systems.