Alex Witt
Machine Learning Engineer at TerraClear Inc
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAlex Witt is a Machine Learning Engineer with eight years of hands-on experience building and productionizing computer vision systems, currently pursuing a Master's in Computer Science at UT Austin. At TerraClear he modernized an inferencing stack from Darknet/C++ to PyTorch, leveraging distributed data parallelism and mixed precision to scale mapping of tens of thousands of acres. He has a strong applied-research bent—developing a triplet-loss–trained light CNN to match cross-image detections for homography generation with >95% accuracy—and a track record of squeezing high performance from constrained hardware (320% runtime gains on Jetson Xavier). As lead of Image Recognition at UAV Austin he combined engineering, teaching, and product work, building tooling and curricula to onboard diverse student teams and shipping real-time detection pipelines. Based in Austin, he blends academic rigor with pragmatic production experience in aerial imagery and embedded ML.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computational Engineering, Junior, Bachelor of Science - BS, Computational Engineering, Junior at The University of Texas at AustinCaddo Parish Magnet High School
Github Skills (20)
aerial-image-detection10
herokuapp8
computer-vision6
imagery6
targets6
nodejs5
deep-learning5
pytorch5
javascript4
python4
finder4
robot3
recurrent3
security2
carrot2
Programming languages (6)
Github contributions (5)
alexwitt23/WildSight
Mar 2021 - May 2021
https://wild-sight.herokuapp.com/
Contributions:1 release, 3 reviews, 52 commits in 1 month
javascriptwildsightnodejsherokuapp
uavaustin/hawk-eye
May 2020 - May 2021
Code for finding targets in aerial imagery.
Contributions:11 releases, 15 reviews, 31 PRs in 1 year
pytorchpythondeep-learningfindingaerial-image-detection
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