Lyndon Chan
Autonomy Contract Support at Teledyne FLIR
Markham, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolLyndon Chan is an autonomy and perception engineer with a decade of experience building applied machine learning systems across robotics, e‑commerce, and computational pathology. Currently supporting autonomy at Teledyne FLIR, he previously developed simulator-driven training pipelines and lightweight transformer models for BEV/semantic segmentation and depth estimation at Avidbots. His academic work at the University of Toronto produced CVPR/ICCV papers and a Canadian patent in computational pathology, reflecting a strong research-to-product track record. He has shipped end-to-end production tools—such as parlawatch.ai for parliamentary text summarization—and led data science initiatives including housing price forecasting and customer recommendation systems. Comfortable across computer vision, NLP, time‑series and geospatial modalities, Lyndon blends hands‑on engineering with research rigor to translate state‑of‑the‑art models into real-world autonomy solutions.
10 years of coding experience
8 years of employment as a software developer
Masters of Applied Science, Electrical Engineering, 3.57 / 4.0 (estimated CGPA), Masters of Applied Science, Electrical Engineering, 3.57 / 4.0 (estimated CGPA) at University of Toronto
English, Chinese, Chinese, German, French, Indonesian
Stackoverflow
31reputation
4kreached
0answers
1question
Github Skills (38)
intellisense9
pylint9
python8
pandas8
python-extension8
manipulation7
frame7
data-analysis7
data-structures7
blender6
vscode6
facebook-graph-api6
synthetic6
vscode-extension6
facebook6
Programming languages (3)
Github contributions (5)
lyndonchan/hsn_v1
Dec 2019 - Jan 2020
Contributions:6 commits, 1 push, 1 branch in 1 month
lyndonchan/lyndonchan.github.io
Oct 2018 - Oct 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:31 pushes in 5 years
templategithub-pages-templatemmistakesmistakesjekyll
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