Benjamin Planche

Expert Research Scientist at United Imaging Intelligence

New York City Metropolitan Area United States
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Summary

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Benjamin Planche is an expert research scientist specializing in computer vision and machine learning, with 13 years of experience tackling data-scarce industrial and medical imaging problems. Based in the New York City metropolitan area, he translates frontier research into practical product solutions, leading rapid prototyping and feasibility studies for AI-enabled medical devices, imaging, and robotics. He has guided research teams at United Imaging Intelligence and UII America, Inc., and previously advanced robust vision systems at Siemens, focusing on training under constrained data and large-scale industrial/government projects. His academic pedigree includes a summa cum laude PhD in Computer Science from Universität Passau, along with master's degrees from Passau and Luleå University of Technology. He is an active open-source contributor, including work on Hands-On Computer Vision with TensorFlow 2 for Packt, implementing and refining CV models and notebooks for MNIST in TF2. This blend of rigorous research, leadership, and hands-on engineering helps him turn complex requirements into reliable AI-backed solutions at scale.
code13 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Computer Science, Diplomed with Honors, Master's degree, Computer Science, Diplomed with Honors at Institut national des Sciences appliquées de Lyon
bookMaster of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Luleå University of Technology
bookDiplomed with Honors (Summa Cum Laude), Diplomed with Honors (Summa Cum Laude) at Universität Passau
languagesFrench, English, German, Japanese, Chinese, Swedish
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pytorch
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neural-network
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machine-learning
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tensorflow
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Github Skills (27)

pytorch10
python10
datasets10
keras10
tensorflow210
deep-learning10
tensorflow10
neural-networks10
computer-vision10
augmented-reality9
reshape9
image-processing9
matrix9
machine-learning9
neural-network9

Programming languages (5)

TypeScriptC++JavaScriptJupyter NotebookPython

Github contributions (5)

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Hands-On Computer Vision with TensorFlow 2, published by Packt
Role in this project:
userML Engineer
Contributions:22 commits, 6 PRs, 43 pushes in 1 year 6 months
Contributions summary:Benjamin's contributions focused on implementing and refining computer vision models within the TensorFlow 2 framework. Their work included adding code and descriptive notebooks for computer vision concepts, with an emphasis on building neural networks from scratch and applying them to classification tasks like MNIST. Furthermore, they adapted the code to the target TF2 framework, indicating hands-on experience with the specified library.
hands-onpythonvisiondeep-learninghands
Slideshows for various presentations I've done
Contributions:43 commits, 7 pushes in 5 years 5 months
reactslideshowslideshows
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