I build AI products, not just manage them.
I'm a product manager who builds AI products. Right now I lead data and AI platforms at TD Bank, where I own strategy and delivery for tools used by over 100,000 people. Before that I spent three years on ML-powered personalization serving 2.5 million daily users.
On the side, I founded JustReva, a voice AI receptionist for healthcare clinics. I took it from an idea to a live product with paying customers, making every build-vs-buy decision along the way. Building something from zero taught me more about product than any framework ever could.
I started my career as a data scientist at an early-stage startup, where I wore every hat. That experience gave me a deep technical foundation and a bias toward shipping over theorizing.
I think a lot about how AI changes distribution, why most AI products fail at the integration layer rather than the model layer, and what it means to build products where the AI is the experience rather than a feature bolted on.
Leading AI platform strategy at TD Bank. Growing JustReva's pilot base across the US and Canada. Writing about voice AI and product-led growth. Looking for my next opportunity in AI product management.
Where I've built things
Founder & Technical Product Lead
- Founded and shipped a production conversational AI product from scratch. Defined strategy, designed the LLM orchestration architecture (ASR, TTS, intent routing), and launched as sole founder
- Built the full discovery-to-trial journey: live voice demo, tiered SaaS pricing ($499/mo), and enterprise pilot program
- Evaluated and integrated third-party AI providers across cost, latency, and compliance constraints. Making build-vs-buy decisions at every layer
- Own end-to-end GTM: positioning, competitive differentiation, pricing strategy, and conversion optimization for a new product category with no established playbook
Product Manager, Data & AI Platforms
- Own product vision, strategy, and roadmap for enterprise AI platforms supporting 100K+ users across multiple business lines
- Led delivery of an AI-powered fraud detection platform providing real-time coverage across 100K+ employees, saving $5M+ annually
- Drove vendor evaluation and third-party integration for AI/ML capabilities. Assessing build-vs-buy tradeoffs against scalability, performance, and compliance
- Led cross-functional workshops with 12+ senior stakeholders across 5 product areas to align priorities and co-create solutions
Product Manager, Personalization & Engagement Platforms
- Led ML-powered personalization platforms serving 2.5M+ daily active users, driving acquisition and engagement through data-driven recommendations
- Delivered 15% increase in platform engagement (~300K additional daily interactions) and improved cross-sell conversion contributing $2M+ in annual revenue
- Designed and scaled experimentation frameworks: A/B testing cadences, funnel optimization strategies, and evaluation metrics that became org-wide standards
- Led 0-to-1 innovation pipeline: competitive analysis, pitch decks, VP-level presentations. Secured budget for new AI-driven initiatives with no established playbook
Data Scientist, Product & Growth
- Built and productionized ML recommendation systems powering user engagement and product discovery across multiple surfaces in a B2B SaaS product
- Operated as hybrid PM/data scientist in a resource-constrained startup. Tying model improvements directly to activation and retention
What I care about right now
LLM Distribution
How products get discovered through conversational AI interfaces. ChatGPT, Claude, and Gemini are becoming acquisition channels, and most companies aren't ready for it.
PLG + AI
Product-led growth meets AI-powered experiences. How do you build a funnel when the user's first interaction happens inside someone else's LLM?
Voice as Interface
Building JustReva taught me that voice AI is finally ready for production. The stack (ASR + LLM + TTS) is cheap enough and good enough to replace real workflows.
Experimentation Culture
The best product teams run experiments constantly. Not just A/B tests but real hypothesis-driven product discovery at every stage of the funnel.
Platform Partnerships
Building on third-party platforms (APIs, integrations, ecosystems) is a distribution superpower. The best PMs treat partnerships as a product surface.
0-to-1 Building
I'm drawn to the earliest stage of a product. When there's no playbook, no data, and the job is to figure out what to build and why anyone would care.
What I work with
Product & Growth
AI & Technical
Leadership & Methods
Domains
Background
M.Sc. Big Data Analytics
Trent University
2019–2021 · GPA 3.9/4.0
Product Management Certification
Product Faculty
Hands-on training with real-world case studies
Let's talk about building AI products.
Currently exploring opportunities in AI product management, growth, and partnerships. Based in Toronto, open to roles across Canada and the US (sponsorship available).