The full picture.
Current platforms, past track record, and credentials. The PDF version is the hiring-manager format — concise, one page.
Where I operate today.
AI Forward
An AI consultancy I founded in 2022. We build production-grade systems — NLP, computer vision, agentic automation — for small and mid-sized businesses. I lead P&L, client scoping, and architecture across 30+ engagements.
Oct 2022 – Present • Toronto, ONCanadian Funding
Helping businesses across North America find and secure government grants, SR&ED credits, and strategic capital. I run the firm and integrate capital strategy with the technology work I do through AI Forward.
Feb 2026 – Present • CanadaFractional Mandates
A small number of embedded engagements with scaling organizations — most recently Hexona Systems and Sayvo.ai. Acting as executive partner on product roadmaps, architecture decisions, and delivery.
2025 – Present • Multiple companiesAI Workshops & Seminars
Half-day and full-day workshops for organizations rolling out AI. I work with both leadership and technical teams — the executive framing and the hands-on implementation side, depending on the room.
OngoingRoles that shaped the range.
Deloitte
Jun 2021 – Oct 2022AI Consultant & National NLP Lead
- Scaled the NLP Center of Excellence to 20+ practitioners in under 18 months.
- Built a deployment accelerator that reduced project timelines by 50% across the practice.
- Contributed to $10M+ in new NLP contract value through pre-sales and architecture leadership.
Paperstack
Jun 2021 – Dec 2022Fractional Chief AI Officer
- Owned the AI function for a fintech startup founded by a Forbes 30 Under 30 team.
- Architected the data platform that supported the company's expansion to $10M ARR.
- Work presented to and endorsed by Peter Norvig, former Chief Scientist at Google.
PFES & Statistics Canada
2020 – 2021AI Engineer & Data Scientist
- Built a financial analytics application at Statistics Canada achieving 92–97% accuracy on structured data.
- Developed a LiDAR and GIS-based forest inventory model at PFES, reducing processing time by 40%.
Where I work best.
At the intersection of AI architecture, business constraints, stakeholder alignment, and financial reality.
The formal side.
- BA (Hons) Computer Science & Mathematics, Mount Allison University
- Reisman Award & President's Scholarship
- Stanford Machine Learning Specialization
- Lean Six Sigma Black Belt
- Tableau Iron Viz — Global Top 10