May 2026 – Present
Software Engineer
Lyft · Toronto
Big data + analytics engineering within our driver, supply, and identity org.
00
About
Software Engineer
I build product, data, and ML systems with a bias toward clear execution.
Recent work spans full-stack product engineering, applied ML, and research projects in sports and decision systems.
01
Experience
Jobs, fellowships, and leadership roles that shaped how I work.
May 2026 – Present
Lyft · Toronto
Big data + analytics engineering within our driver, supply, and identity org.
Jan 2026 – May 2026
Stealth
Quant dev and research work focused on crypto trading systems, market analysis, and execution tooling.
Sep 2025 – Nov 2025
Raremarq · Remote (Los Angeles)
Eng hire #2, shipping very fast to help people sell.
May 2025 – Aug 2025
Lyft · Toronto
Productionized ML research to get drivers paid more and improved ETL pipelines to cut on-prem compute.
Sep 2025 – Present
Canada Basketball · Capstone
Homography computer vision research for sub-pixel player localization from broadcast video.
Sep 2024 – Dec 2024
Maple Leaf Sports & Entertainment · Toronto
Assorted full-stack, data, and product analytics work.
Jul 2024 – Aug 2024
Beats by Dr. Dre · Remote
Consumer behavior modelling for launch decisions.
Mar 2023 – Feb 2026
Innovation North, Ivey Business School · London
Gen-AI and systems thinking research under Dr. Tima Bansal.
May 2024 – Aug 2024
RBC Amplify · Toronto
Patent-pending recommendation engine for a gamified fantasy sports inspired financial education app.
Jan 2024 – May 2024
NBA
Youngest in cohort for executive-led training with fewer than 1% of 5,400 applicants accepted.
Mar 2022 – Mar 2024
Western Dev Society
Scaled a 700+ builder circle and partnered with 30+ organizations.
02
Writing
Working notes on product focus, reliable data, and keeping teams confident.
I built a test to check whether a video model was really watching. The number it gave me turned out to mean nothing.
Salary-weighted lineup connectivity adds signal for playoff stability; negative salary assortativity aligns with robustness.
Every attention variant, RoPE, and a KV cache by hand on Candle, with CPU benchmarks that show where the time goes.
03
Contact
Open to interesting product, data, and engineering conversations.
Best way to reach me is email.
lukeblommesteyn [at] gmail [dot] com