May 2026 – Present
Software Engineer
Lyft · Toronto
Big data + analytics engineering within our driver, supply, and identity org.
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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.
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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.
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Writing
Working notes on product focus, reliable data, and keeping teams confident.
How the Weldon Warriors placed 6th in Canada and top 3% worldwide at WorldQuant's IQC: 1,557 one-line primitive alphas, an overnight factory, and probing the scoring system before spending budget on it.
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, now running a real Qwen checkpoint, with predictions registered before the benchmarks came in.
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Contact
Open to interesting product, data, and engineering conversations.
Best way to reach me is email.
lukeblommesteyn [at] gmail [dot] com