Darren Tsai
Senior Machine Learning Engineer at Eucalyptus
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolDarren Tsai is a Senior Machine Learning Engineer based in Sydney with 8 years of experience bridging robotics research and production ML systems. He holds a PhD in Computer Vision from the University of Sydney and has authored multiple first‑author papers while turning novel ideas—like an auto‑labelling framework and lidar‑agnostic detectors—into industry‑deployed solutions. At startups and research institutes he’s shipped real‑time, multi‑camera and edge inference pipelines for maritime and autonomous platforms, led product roadmaps, and mentored engineering teams. Darren’s work uniquely combines probabilistic algorithm design, sensor calibration, and practical auto‑labelling to cut annotation effort while preserving 3D detection performance close to human levels.
8 years of coding experience
3 years of employment as a software developer
The University of Sydney
English
Stackoverflow
63reputation
4kreached
1answer
3questions
Github Skills (84)
3d-object-detection10
autonomous-driving10
computer-vision10
object-detection10
3d-detection10
unsupervised-learning10
lidar10
point-cloud10
camera-calibration10
evaluation10
mlflow9
ai9
active-learning9
llmops9
apache-spark9
Programming languages (7)
Github contributions (5)
acfr/cam_lidar_calibration
Sep 2021 - Jul 2022
(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.
Contributions:7 commits, 3 PRs, 6 pushes in 9 months
camera-calibrationlidar
darrenjkt/SEE-MTDA
Nov 2021 - Nov 2022
(RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.
Contributions:85 commits, 4 PRs, 39 pushes in 1 year
3d-detectionlidarobject-detection3d-object-detectionautonomous-driving
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