Consumer

Here, I lead the end-to-end development of multiple AI-enabled consumer mobile products, guiding each from concept to live deployment. Architecturing across design, AI tooling, and engineering workflows, I define product vision, author detailed requirements, and introduce structured systems that prioritize user trust, clarity, and performance.

My work includes launching a privacy-first military fitness application aligned to the CAF BMQ training cycle, developing a Canadian grocery price comparison platform integrating AI vision and government data, and building a multi-mode social gaming platform powered by AI-assisted content pipelines. Across these initiatives, I have strengthened user experience through disciplined product strategy, confidence-based data systems, and scalable monetization models.

Through strategic leadership, iterative execution, and a strong focus on data-informed decision-making, I consistently deliver products that balance innovation with operational rigor, driving engagement, reliability, and sustainable growth.

Work Experience

Nov 2024 - Ongoing

AI-Native Consumer Products Studio

Toronto, Canada

Price Scanner (Deal Mapper)

Canadian Grocery Price Comparison App | 2026

• Conceived a full-stack mobile application (React Native/Expo + Bun/Hono backend) delivering real-time hyperlocal price comparisons for Canadian consumers.

• Designed a 6-tier product identification pipeline integrating Open Food Facts, UPCitemdb, barcode scanning, GPT-4 Vision, and Google Cloud Vision to maximize recognition coverage with structured fallback logic.

• Integrated Statistics Canada CPI data to model provincial price variations across 13 provinces/territories, incorporating seasonal adjustments across 72 product categories.

• Architected a crowdsourced post-purchase verification system with anti-gaming controls (device fingerprinting, proximity validation, outlier detection) and trust-weighted scoring.

• Integrated 10+ third-party APIs (Google Places/Directions, Flipp, SerpAPI, LCBO, provincial fuel pricing datasets).

• Designed and deployed in-app turn-by-turn navigation with traffic visualization and arrival detection to eliminate external map handoff friction.

Impact Focus: AI confidence modeling, data product design, trust systems, multi-source API orchestration.

Ready Aye Ready

Military Training Readiness iOS App

• Conceived, designed, and shipped a privacy-first iOS fitness app aligned to the transient CAF BMQ training cycle, without writing code (AI-assisted development).

• Defined full product vision: offline-first architecture, no accounts, no ads, no cloud sync; all data stored locally.

• Authored PRDs across four core modules: SITREP (readiness engine), OPS (8-week program), LOG (workout tracker), INTEL (benchmark analytics).

• Designed a 0–100 readiness scoring algorithm with traffic-light outputs (GREEN/YELLOW/RED) based on sleep, resting HR, pain indicators, and cognitive flags.

• Integrated RevenueCat with a $9.99 lifetime purchase model and refund-aware access controls.

• Managed App Store submission lifecycle, resolving binary rejections and metadata compliance issues.

• Maintained strict UX constraints: sub-1-minute daily interaction, max five screens, no gamification or push notifications.

Impact Focus: Privacy-by-design, lifecycle ownership, monetization strategy, algorithmic product thinking.

Nkeko Games

Mobile Social Card Game Platform | 2024–Present

• Led development of a 12-mode mobile card game platform (React Native + Expo, Hono backend, SQLite/Prisma).

• Defined roadmap from concept to MVP, including 900+ card content assets across multiple audience segments (PG-13 to 21+).

• Designed structured scoring systems, escalation mechanics, pass penalties, and leaderboard logic across competitive and casual modes.

• Built AI-assisted content pipeline (Claude) with human moderation layers, tone classification (safe/mild/spicy/x-rated), and documented governance standards.

• Integrated cultural localisation (Naija Mode, Pidgin mechanics, culturally-specific decks) to deepen audience resonance.

• Established KPI framework: session completion rate (>70% target), D7/D30 retention, IAP conversion, card skip rates.

Impact Focus: Game mechanics design, AI content governance, segmentation strategy, iterative UX refinement.

Core Competencies

Zero-to-One Product Development

AI/ML Product Strategy (confidence systems, fallback chains, LLM integration)

Product Vision & PRD Authoring

Data Product Design & Open Data Integration

Mobile Monetization & App Store Deployment

API Architecture & Multi-System Orchestration

Trust & Verification Systems

Agile Iteration & UX Direction