SDBurt

About

Hi, I'm Sean Burt, a software engineering graduate specializing in AI from the University of Victoria. I started my career at Hummingbird Drones, where I led the development of the Fire AI project, managing the web app, cloud infrastructure, and machine learning components. I now work at Consumer Genius, where I work mainly on the data pipelines and data engineering related projects.

I have a strong passion for web development, machine learning, data engineering, and data science. I thrive in collaborative environments, ensuring everyone's contributions are valued. In my spare time, I enjoy working on personal projects, building out a homelab, and taking online courses to expand my knowledge.

With a focus on continuous learning and innovation, I bring dedication and a collaborative spirit to every project. Please take a moment to see my work experience below.

Work Experience

  • Consumer Genius Full-Stack Software Developer Oct 2023 – Present
    • Architected a data lake ingesting 30K+ daily records from 7+ platforms, enabling lead-level P&L tracking and surfacing under-performing verticals.
    • Built an automated lead arbitrage system processing 5K+ leads daily through quality validation, deduplication, and delivery to buyers.
    • Engineered a real-time marketing automation pipeline delivering leads instantly to multiple platforms, replacing next-day batch processing.
    • Developed CASL compliance automation that synchronizes unsubscribers across platforms and auto-removes expired consents, preventing regulatory fines.
    • Designed dimensional data models with domain-specific marts and built dashboards exposing margin trends across 10+ verticals.
  • Hummingbird Drones Software Developer Jul 2021 – Nov 2022
    • Owned the entire technical stack as sole developer, deploying an ML-powered thermal hotspot detection system that reduced identification time from 2 hours to 15 minutes per flight.
    • Built an event-driven processing pipeline to orchestrate parallel ML inference across 100K+ images.
    • Fine-tuned a detection model on 10K+ annotated thermal images, achieving 87% accuracy across multiple camera models and regions.
    • Developed the customer-facing web application for viewing and managing wildfire detection results.
See all work

Let's Connect

If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email.

github linkedin seandburt@gmail.com