Eric Platon
Advisor at Aiki Energy
Japan
Summary
👤
Senior🎓
Top SchoolEric Platon is a software engineer and AI researcher with 13+ years building production ML systems across agriculture, biology and climate/energy domains, currently advising and co-founding ventures in Japan. He designs remote-sensing, IoT and MLOps solutions—from embedded TensorFlow to cloud data pipelines—and led development of a pending-patent zero-stress poultry monitoring system. With dual PhDs-level training in AI and software engineering, he combines formal GOFAI research (automated test generation, model checking) with pragmatic neural-net engineering and DevOps. He has hands-on experience in energy simulation and bio-based energy PoCs, and contributed to cross-platform build reliability for TensorFlow OpenCL support. Known for bridging rigorous academic methods and product-grade systems, he often focuses on safety, explainability and self-assembly ideas applied to real-world sensing problems.
13 years of coding experience
16 years of employment as a software developer
Ph.D., Artificial Intelligence, Ph.D., Artificial Intelligence at Pierre and Marie Curie UniversityÉcole WaplerM.Sc., Automatic Control and Industrial Software Engineering, M.Sc., Automatic Control and Industrial Software Engineering at Polytech Annecy-ChambéryMP, MP at Lycée Michelet, VanvesPh.D., Computer Software Engineering, Ph.D., Computer Software Engineering at The Graduate University for Advanced StudiesM.Ph., Distributed systems, M.Ph., Distributed systems at Université Savoie Mont Blanc
French, English, Japanese, Norwegian, Finnish, Portuguese
Stackoverflow
10,012reputation
839kreached
93answers
9questions
merge
top-1%
ssl-certificate
top-5%
ruby-on-rails
top-5%
rebase
top-5%
ssl
top-5%
pip
top-5%
Github Skills (21)
opencl10
build-system10
merge10
tensorflow10
gpu10
ssl9
git9
python9
amazon-web-services9
ssl-certificate9
ruby-on-rails9
rebase9
nginx9
pip9
cicd8
Programming languages (13)
Github contributions (5)
hughperkins/tf-coriander
Feb 2018 - Feb 2018
OpenCL 1.2 implementation for Tensorflow
Role in this project:
DevOps Engineer
DevOps EngineerContributions:6 commits, 1 PR in 4 days
Contributions summary:Eric primarily focused on build system and dependency management for the project. Their contributions include adding support for MacPorts as a package manager, fixing checksum hashes for dependencies, and updating URLs to use HTTPS. These changes indicate a focus on ensuring the build process is robust, compatible across different systems, and that dependencies are correctly managed for the project's tensorflow implementation.
cudanvidiagpuintelmac
seungwooYoo/Curated-scene-text-recognition-analysis
Dec 2017 - Jun 2023
Curated lists of scene text recognition and analysis
Contributions:2 PRs in 5 years 7 months
pythontext-recognitionrecognitionocrscene-text-recognition
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