Duy Le

Senior AI & Computer Vision Engineer, Team Lead at Eureka Robotics

Singapore
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Summary

👤
Senior
🎓
Top School
Duy Le is a Senior AI and Computer Vision Engineer and team lead based in Singapore with nine years of experience building production-grade vision systems and ML pipelines. He progressed from research and R&D roles into leadership at Eureka Robotics, combining hands-on model development with team delivery and deployment expertise. His background in electrical and electronics engineering informs a pragmatic approach to signal and sensor data—evidenced by contributions translating MATLAB ECG synthesis into Python for the widely used NeuroKit2 toolbox. Comfortable bridging research and product, Duy has applied data-science rigor at Hubble and academic research at the Earth Observatory of Singapore, making him adept at turning complex sensor signals into reliable, impactful systems. Colleagues describe him as creative, meticulous, and sociable—qualities he leverages to mentor teams and drive precise, user-focused AI solutions.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor of Engineering (B.E.), Electrical and Electronics Engineering, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering at Nanyang Technological University
languagesEnglish, Vietnamese
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Github Skills (7)

scipy10
python10
ekg10
signal-processing10
numpy10
matlab9
matplotlib7

Programming languages (1)

Python

Github contributions (5)

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neuropsychology/NeuroKit

Dec 2019 - Dec 2019

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Role in this project:
userBack-end Developer
Contributions:8 commits, 1 PR, 5 comments in 6 days
Contributions summary:Duy's primary contribution involves translating MATLAB code (ecgsyn) into Python. This is evidenced by the code differences showing conversion of functions related to ECG signal synthesis. The focus appears to be on replicating the functionality of the original MATLAB script within the NeuroKit2 Python environment. The work encompasses signal processing and the simulation of ECG signals.
signalentropyheart-ratepythonneuroscience
duylp/albumentations

Mar 2023 - Jun 2024

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Contributions:3 PRs, 3 pushes, 3 branches in 1 year 3 months
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