Ashok Dahal
Lead Data Scientist - ADAS Perception
Detroit Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAshok Dahal is a Lead Data Scientist specializing in ADAS perception, with eight years of industry experience driving research and production deployment of camera and lidar-based perception systems at Ford and Valeo. He has deep hands-on expertise in object detection, monocular depth estimation, semantic segmentation, multi-object tracking, and sensor fusion applied to automotive features like trailer assist and automated parking. A former university researcher and PhD in computer science, he combines rigorous academic methods with practical engineering—designing algorithms, performing software reviews, and contributing to IP and patent filings. Ashok’s background includes building real-time vision systems and novel feature detectors during his research career, reflecting a strong foundation in C/C++, MATLAB, and OpenCV. Based in the Detroit area, he bridges OEM and supplier perspectives to accelerate reliable ADAS functionality for North American manufacturers. He’s known for translating academic innovations into production-ready perception stacks that meet automotive safety and integration constraints.
8 years of coding experience
10 years of employment as a software developer
BS, Computer Science, Gold Medalist, BS, Computer Science, Gold Medalist at Kathmandu UniversityMS, Computer Science, MS, Computer Science at University of North Texas
Stackoverflow
1reputation
0reached
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Github Skills (14)
insar10
sar10
earthquake10
geodesy10
geophysics9
geoscience9
time-series8
python8
frame3
segmentation3
portal2
computation2
machine-learning2
data-science1
Programming languages (1)
Github contributions (5)
RiskChanges/RiskChanges
Jun 2019 - Dec 2022
Risk Changes SDSS development page
Contributions:16 releases, 3 reviews, 67 commits in 3 years 7 months
sdsspythonriskriskchangeschanges
ashokdahal/LandslideHazard
Apr 2022 - Mar 2024
Contributions:1 release, 2 pushes, 1 branch in 1 year 10 months
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