Resume

The background.

Engineer → Technical Consultant → Product Leader. Machine learning since 2010, product ever since. Expand any role for the detail.

Roles

Newest first

2024 – now
Leading technical product management and product operations for AI products travel SaaS.
Lead AI product operations for an AI-native product portfolio, built a delivery framework from prototype to scale, and built cross-team collaborations while managing a team of 7 technical PMs. Projects delivered: dynamic pricing, a quality-assessment framework, and a product-delivery framework — for an ancillary-revenue SaaS serving 200+ airline, cruise, and rail clients.
2022 – 24
Owned security data and ML products, part of the ML Security Operations Council.
Launched a phishing-email risk-analysis app at 95% accuracy that won an internal Innovation Award; led a SOAR/Palo Alto integration that saved analysts ~1,600 hours; drove a cloud consolidation saving ~$200K/yr; sat on the ML Security Operations Council; and managed a portfolio of 10+ apps against a $15M budget. Bell Canada is a public telecom company serving millions of customers.
2019 – 22
Launched a patent-pending, AI-guided wellness coaching app on iOS and Android.
Designed, built, and launched a patent-pending, intelligent breathing-coach app on iOS and Android — and personally wrote the Unity/C# animating the coach. Built and led a cross-geography team (Canada, Europe, India) and contributed the business plan and investor pitches. Patent (pending) ↗
2016 – 17
Designed the data platform for AI readiness, and a health-risk predictive model.
Designed the platform architecture and data strategy alongside the CTO; built a health-risk-assessment predictive model and an ROI sales-calculator tool; led a multidisciplinary team of researchers, MDs, PhDs, and wellness consultants. The company went public shortly after.
2015 – 16
Built the product marketing team and workflow automations.
Built a data-driven marketing pipeline and go-to-market for Canada's largest medical-staff-scheduling SaaS; ran competitive analysis and early US-market expansion.
2013 – 17
Founding Team & DirectorHacking Health Global
Co-founded a nonprofit and scaled it to 40+ chapters and 10,000+ members worldwide.
2012 – 24
Engineering Lead, Data Scientist, Data and Product Strategy, Go-to-market Strategy.
I take products from vision to production. Key projects: a vehicle price-prediction ML model at ~97% accuracy; an API architecture pulling 50+ sources with recommendation algorithms for a travel SaaS; a Vertex AI chatbot integration; and a computer-vision autism-detection app that won at the International Startup Festival.
2010 – 12
Built a blood-based ML biomarker for early breast-cancer detection. M.Sc., Machine Learning.
Built ML models on large genomics datasets; developed a blood-based biomarker regression model for early breast-cancer detection.
2008 – 10
Shipped a consular crisis-management SaaS front-to-back in .NET.
Front-to-back web application development — from user interface to database management — for a CrisisReach Enterprise product team. Tools: .NET framework (C/C#, SQL, JavaScript/HTML/CSS), OOD, SOA architecture. WorldReach Software was acquired by Entrust.