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University of Toronto, Bachelor of Applied Science in Industrial Engineering

Honors | Minor in AI Engineering | Certificate in Engineering Business

Experience

Vizzylabs, Founding Engineer

Oct 2024 - Present
  • Architected the core data pipeline to scrape and process trending social media content at scale; engineered a model-agnostic AI layer to extract and index structured insights (hooks, transcripts, viral patterns) from 10 million+ videos.
  • Migrated the legacy Django backend to FastAPI, utilizing asynchronous concurrency to eliminate blocking I/O during long-running AI tasks; reducing cloud infrastructure costs by ~40% while significantly increasing system throughput.
  • Engineered the primary client-facing dashboard and custom UGC analytics tool using React and Next.js, enabling brands to monitor sponsored creator performance; delivered the core product offering that directly scaled the company from pre-revenue to $1M+ ARR.
  • Streamlined internal operations by deploying autonomous AI agents (OpenClaw/Nanobot), enabling non-technical team members to execute code changes and repository updates via Slack.
  • Joined as the 3rd Engineer; directed daily engineering operations (standup, sprint planning, retros) and mentored new hires; defined code standards as the team grew 5x.

Konrad Group, Senior Fullstack Developer (promoted from Junior)

Jun 2020 - Jun 2024
  • Built and deployed Equinox+ using Next.js and Contentful (headless CMS) to decouple the architecture and empowering marketing teams to autonomously deploy content with instant feedback.
  • Architected a headless e-commerce engine for Equinox Shop, leveraging Shopify and Stripe APIs to enable a seamless, on-domain checkout that reduced funnel friction and maintained real-time inventory synchronization.
  • Led the rebuild of the Kia Canada platform (1M+ monthly visitors), designing the React state machine and backend logic for the "Build and Price" tool to manage vehicle configurations.
  • Drove technical delivery in an Agile environment, translating complex client requests from ambiguity to production; ran weekly technical "Power Hours" and mentored a team of 4 engineers on system design and code quality.

Procter & Gamble, Data Science Intern

May 2018 - May 2019
  • Developed data pipelines in Python to analyze web search traffic and optimize ad spend, achieving a 15% increase in average conversions by redistributing the same budget.
  • Engineered real-time telemetry dashboards to visualize marketing metrics and enable data-driven decision-making.
  • Automated web performance audits in Javascript, resulting in a 3-5 second reduction in page load times across brand sites.

Projects

Built an automated gig-management platform for a wedding music agency replacing manual spreadsheet workflows with a Postgres Database and automated emails, scaling operations to $200k+ in yearly revenue.

Built a free and open-source platform for restaurants to create QR code menus, handling 20,000+ monthly visits and delivering high-performance, interactive menus optimized for mobile.

Technical Skills

TypeScript
Python
SQL
React
SvelteKit
FastAPI
Next.js
Node.js
Redis
AWS
GCP
Docker
Vector Databases