I build AI products that people actually use.
Product Manager at TD Bank leading AI/ML platforms (100K+ users, $5M+ in annual savings). Founder of JustReva, a voice AI product built on LLM orchestration. Based in Toronto, open to opportunities globally.
Where I've built things
6+ years of building AI/ML products, from enterprise platforms to a voice AI startup I founded.
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
Case studies
Deep dives into products I've built and scaled. Click to expand.
Building a Voice AI Product from Zero
Founded and shipped a HIPAA-compliant voice AI receptionist for healthcare. Built the full stack, GTM strategy, and onboarded first paying customers.
AI-Powered Fraud Detection at Enterprise Scale
Led delivery of real-time fraud detection platform covering 100K+ employees, saving $5M+ annually.
ML Personalization for 2.5M Daily Users
Led product for ML-powered recommendations that drove 15% engagement lift and $2M+ revenue contribution.
Building an Org-Wide Experimentation Culture
Created A/B testing standards and frameworks that became the foundation for product decisions across 8+ teams.
Funnel Optimization: 12% Activation Improvement
Used segmentation analysis and UX testing to redesign a 5-step onboarding flow, improving activation rates.
Strategic Vendor Evaluation & Technical Trade-offs
Led build-vs-buy decisions for AI infrastructure across cost, compliance, and performance constraints.
Cross-Functional Alignment for Complex Platforms
Aligned 12+ senior stakeholders across fraud, compliance, legal, and engineering to ship ahead of schedule.
0-to-1 User Discovery: Validating Voice AI for Healthcare
Conducted deep customer research to validate problem-solution fit before writing code.
Launching a SaaS Product with Zero Marketing Budget
Designed complete go-to-market strategy and acquired first paying customers without paid acquisition.
What I care about right now
The intersection of AI products, growth, and real-world deployment.
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 — 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
The tools and methods I use to build, ship, and grow AI products.
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.
I'm currently exploring opportunities in AI product management, growth, and partnerships. Based in Toronto, open to roles across Canada and the US (sponsorship available). Also considering UK opportunities.