I build AI systems that work in the real world: computer vision pipelines, agentic workflows, and full-stack products with measurable impact.
Focus
AI engineering, product systems, and measurable impact.
Location
Toronto, Ontario. Canadian citizen.
Profile
Recruiter-friendly signal first: strong academics, shipped systems, and practical AI work that has been measured against real outcomes.
CS Honours Co-op student at Ontario Tech focused on AI engineering, building practical systems that move real metrics: 50% less distraction, sub-2.3s latency, and 80% less manual cleanup.
I work across ML and product engineering, from agentic pipelines and real-time computer vision to full-stack client products. Exploring AI engineering and software roles starting July 2026.
3.78
GPA
Dean's List
Academic Excellence
5+
AI Projects Shipped
Currently Building
AI content intelligence for creators and online business owners.
A currently private platform that turns long-form signals into structured ideation, competitor research, and draftable creator workflows. Details stay intentionally quiet while it is being built.
Selected Work
A focused set of AI and software projects with clear engineering depth, measurable outcomes, and production-minded tradeoffs.
Computer Vision + AI
Real-time attention monitoring with measurable behavioral impact.
A calibrated computer vision pipeline using MediaPipe facial landmarks, FastAPI, React, and Electron. The system adapts to each user with a short baseline phase and triggers interventions only after sustained focus drift.
50% distraction reduction | 50+ participant study
Agentic AI + Creator Tools
An agentic editing pipeline from transcript to rendered short.
An end-to-end workflow for transcription, scene detection, edit decision generation, captioning, and ffmpeg rendering. A confidence gate filters weak AI cuts before final output.
0.85 confidence gate | fully agentic edit pipeline
Voice AI + Full-Stack
Low-latency conversational AI with multimodal service orchestration.
A real-time LLM platform integrating async Flask APIs, AWS Polly, S3, and a React frontend. Request pipelining and service orchestration brought response latency below conversational thresholds.
<2.3s response latency | 10+ concurrent sessions
AI Agents + Automation
Structured research automation with deterministic guardrails.
A multi-source discovery workflow that converts noisy social data into normalized records with JSON schemas, skip criteria, classification logic, and auditable outputs across repeated runs.
80% manual cleanup reduction | 100+ profiles
Stack
The tools I reach for when I need an AI system to be testable, maintainable, and useful to people outside the codebase.
Experience
Practical product experience, client delivery, and an AI-focused CS foundation.
Sept - Dec 2025
Ontario, Canada
Frontend Developer Intern
Apr - Sept 2025
Ontario, Canada
Freelance Full Stack Developer
2023 - 2027
Oshawa, ON
B.Sc. Computer Science, Honours Co-op