About
AI product leader and conversational systems architect with a track record of building AI-powered products from the ground up and scaling them to enterprise impact. Led end-to-end ownership of Porter Airlines' conversational AI platform—from architecture and NLU design through cross-functional deployment and governance—achieving 750% intent expansion across 2M+ annual customer interactions. Deep hands-on fluency across the AI stack: Amazon Connect, Dialogflow CX, AWS Lambda, ML pipeline design, and LLM integration. Grounded in Cognitive Science (University of Toronto, HBSc with Distinction, 2022) with active credentialing in cybersecurity, quantum computing, and responsible AI. Available for AI consulting, contract engagements, and senior leadership roles.
Experience
Toronto, ON · April 2026 – Present
Toronto, ON · January 2025 – Present
Independent AI consultancy delivering production systems and advisory work on contract, from architecture through to the evaluation that determines whether output can be trusted
- Built the practice around a specific gap: teams adopting AI faster than they can verify what it produces. Engagements cover architecture, production delivery, and the evaluation work that determines whether output is trustworthy enough to act on
- Repositioned an AI-music analytics startup into a defensible niche during a critical growth phase, running the competitive analysis, user research, and segmentation that established where the product could actually win
- Owned the commercial layer alongside the technical one, setting positioning, messaging, pricing, and channel partnerships rather than handing strategy back to the client as a deck
- Co-designed the core algorithm with the engineering team, translating commercial requirements into technical specifications for behavioural models linking auditory preference data to team performance measures
Toronto, ON · February 2024 – September 2025
IVR Developer & Technical Project Manager — end-to-end ownership of a conversational AI platform serving 2M+ customers
- Defined and executed product strategy for conversational AI platform serving 2M+ annual customers, scaling from 6 to 51 intents (750% growth) through roadmap planning, user journey mapping, and data-driven feature prioritization
- Architected and deployed end-to-end NLU/IVR systems on Amazon Connect — from initial design through production launch — while managing product strategy, cross-functional alignment, and operational scaling simultaneously
- Led cross-functional delivery across Engineering, CX, Operations, and Product teams to ship the NLU modernization initiative, standardizing release processes and aligning stakeholders on quarterly OKRs
- Drove activation and engagement by analyzing high-volume behavioural data, implementing A/B testing frameworks, and optimizing conversation flows — increasing self-service completion rates and reducing escalations
- Built performance analytics infrastructure with real-time dashboards tracking intent accuracy, routing precision, and CSAT — enabling data-driven iterations and executive reporting
- Established AI governance framework including model evaluation standards, version control protocols, and SLA definitions across 100+ agent operations
- Authored enterprise AI Operations Playbook reducing stakeholder onboarding time by 40% and scaling organizational AI literacy
- Led bilingual product expansion (English/French), partnering with language experts and conducting market analysis to ensure full feature parity
Toronto, ON · August 2025 – Present
Defining AI product roadmap for adaptive learning, ML-driven personalization, and ethical AI deployment across youth STEM education platform
- Leading AI product transformation of STEM learning platform through adaptive curriculum design, real-time analytics integration, and personalized learning pathways
- Defining AI product roadmap including feature prioritization, success metrics, and partnership strategy to enhance safety monitoring and operational efficiency
- Establishing AI ethics and governance standards for youth-facing products — privacy compliance, bias mitigation, and responsible AI deployment at scale
Toronto, ON · January 2024 – May 2024
- Led platform architecture decisions for AI-powered fashion technology — build vs. buy tradeoffs, technology stack selection, and integration of AR, database systems, and design tools
- Architected business continuity strategy ensuring platform resilience and data protection during disaster scenarios, defining recovery time objectives and data protocols
- Translated technical complexity into executive risk frameworks, technology roadmaps, and investment prioritization recommendations for C-suite decision-making
Toronto, ON · August 2022 – November 2023
Strategic transformation for Fortune 500 clients across financial services and mining — delivering 25%+ value creation through organisational design and operational optimisation
- Supported major Canadian bank's regulatory transition (Category 4 to Category 3) through risk analysis, expert network engagement, and stakeholder alignment
- Designed organisational restructuring across multiple mining sites, delivering 25%+ value creation through operational efficiency and structural optimisation
- Led DE&I product development — built digital dashboard, designed stakeholder surveys, and streamlined data operations enabling data-driven diversity metrics
Prior Roles
Associate Consultant Intern, Summer 2021
Building Entrepreneurial Leaders (BEL) Intern, Summer 2020
Toronto, ON · April 2019 – October 2019
Trained and optimised ML-powered caption generation systems for one of the world's leading AI-driven social platforms
- Trained and evaluated caption generation models through large-scale dataset labelling and systematic feedback on AI outputs to improve accuracy and contextual relevance
- Collaborated with ML engineering teams to identify edge cases, biases, and performance gaps in automated caption systems
- Documented failure patterns and recommended training data enhancements to support iterative model improvements and annotation quality
Toronto, ON · April 2019 – August 2023
- Instructed youth ages 6–18 in programming, robotics, and drones while optimising event strategy through data-driven content creation to secure program funding
- Managed budgeting, scheduling, and resource allocation across operations