Hendrik Weideman
Machine Learning Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHendrik Weideman is a machine learning engineer with 12 years of experience and a near-complete Ph.D. in Computer Science from Rensselaer, specializing in computer vision and applied ML. He developed CurvRank, a fin-curvature based identification algorithm for humpback whales and dolphins that has been integrated into WildBook and is actively used by ecological research groups. Based in New York, he combines rigorous academic training (Ph.D. GPA 3.97) with practical impact in conservation tech, turning novel vision algorithms into production tools. His background in electronic engineering and sustained focus on individual animal identification reveal a knack for translating signal-processing intuition into robust, real-world matching systems.
12 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, 3.97, Doctor of Philosophy (Ph.D.), Computer Science, 3.97 at Rensselaer Polytechnic InstituteBachelor of Engineering (B.Eng.), Electronic Engineering, 3.6, Bachelor of Engineering (B.Eng.), Electronic Engineering, 3.6 at Stellenbosch University/Universiteit Stellenbosch
German, Afrikaans, English
Stackoverflow
12,233reputation
2.0mreached
29answers
23questions
opencv
top-1%
python
top-5%
Github Skills (87)
opencv10
python10
nearest-neighbors10
data-manipulation10
sklearn10
two-dimensional10
dataframes10
pandas10
astar10
data-science10
placement10
callable10
pathfinding10
theano10
data-analysis10
Programming languages (3)
Github contributions (5)
hjweide/pyastar2d
Dec 2016 - May 2022
A very simple A* implementation in C++ callable from Python for pathfinding on a two-dimensional grid.
Contributions:17 releases, 14 reviews, 68 commits in 5 years 6 months
shortest-path2d-gridastarpythontwo-dimensional
hjweide/Lasagne
Jun 2015 - May 2017
Contributions:44 pushes, 4 branches in 1 year 10 months
pytorchdeep-learningnetwork-toolstheanoneural-networks
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