Bipeen Acharya
Software Engineer at CrowdStrike Inc.
Conroe, Texas, United States
Summary
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SeniorBipeen Acharya is a software engineer and Ph.D. student at the University of Pennsylvania specializing in cyber-physical systems security, with research focused on medical device security and autonomous systems. He brings 11 years of engineering experience and strong foundations in distributed systems, IoT, and security, supervised by Prof. Insup Lee in the PRECISE lab. Bipeen contributes to open-source computer vision tooling—adding algorithms like KMeans, watershed segmentation, and CUDA-friendly features to the widely used gocv project—bridging research-grade techniques and production-ready libraries. A summa cum laude graduate in Computer Science and Mathematics, he blends rigorous academia with practical development and community leadership as Secretary of Penn’s Graduate Student Engineering Group. Based in Conroe, Texas, he pairs systems-level security thinking with hands-on backend implementation, often translating complex vision and CPS concepts into usable software.
11 years of coding experience
Stackoverflow
353reputation
47kreached
6answers
5questions
Github Skills (16)
computer-vision10
opencv10
go10
image-processing10
html6
css6
android-animation6
cuda6
kubectl6
awk6
animation6
android6
python6
android-activity6
openvino4
Programming languages (4)
Github contributions (5)
hybridgroup/gocv
Jul 2019 - Feb 2020
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 7 PRs, 4 comments in 7 months
Contributions summary:Bipeen primarily contributed to the `gocv` library, which focuses on computer vision tasks. Their work involved implementing wrappers and functions for various OpenCV functionalities, including histogram comparison, distance transforms, watershed segmentation, morphology operations, and calculating back projections. The user also added functions for Gaussian kernel generation and the KMeans clustering algorithm. These additions enhanced the library's capabilities and provided Go developers with access to a wider range of computer vision algorithms.
face-trackingvideotensorflowcomputervisiondnn
acharyab15/gophercises
Aug 2018 - Jul 2019
Contributions:98 pushes, 1 branch in 10 months
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