Hi, I’m Byron.
Technical Product Leader
I turn complex workflows into products people can actually use.
For the past nine years, I’ve worked across product and engineering—setting product strategy, development direction, leading teams, and turning ambiguous problems into measurable outcomes. I’ve led and coached 20+ engineers across AI, automation, platform, and modernization initiatives at the University of Toronto.
I’m especially interested in where emerging AI can remove real user friction—and where trust, judgment, and thoughtful guardrails still matter.
Outside of work, I’m usually experimenting with new tools, exploring with a camera, or building Quibbi, a zero-to-one AI voice and chat product for fun.
Experience
University of Toronto Information Technology Lead
Product Management & Engineering Leadership2020—Now
University of Toronto Software Development Lead
Product Management & Platform Delivery2018—2020
University of Toronto Web Developer
Product Development2017—2018
Product venture
Quibb Labs ↗ Founder & Product Builder
AI Voice & Chat Platform2025—Now
Selected product work
AI-assisted research and planning
Led the product strategy and launch of a workflow combining internal documents, structured data, research, and expert feedback—with people reviewing the final output.Days or weeks → ~1 minfirst-draft turnaround
AI venture planning and feasibility tool
Designed and built a internal-facing product that turns a founder’s problem statement into a structured, decision-ready business plan through guided discovery, AI workflow orchestration, automated feasibility checks, document generation, and Stripe payments.Problem → Business planAI workflow · feasibility · Stripe
Founder and venture-management platform
Replaced disconnected spreadsheet and email processes with profiles, milestone tracking, progress reporting, automated communications, and clearer administrative oversight.1K+ ventures, one system4K+ applications · 500+ mentors
Applicant recommendation system
Identified where keyword matching was failing and shipped AI recommendation workflow that surfaced more qualified applicants while keeping reviewers in control.2-3xmore eligible applications
Cloud and delivery modernization
Led AWS and Azure modernization while introducing roadmaps, sprint planning, stakeholder demos, retrospectives, and launch-readiness checks.~35% faster~67% lower cost
Education
University of Toronto
Honours BSc, Computer Science & PsychologyToronto