Le Van Cong
Software Engineering Manager at FUNiX
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolLe Van Cong is a versatile software engineer with 9 years of experience blending AI, computer vision, and IoT systems development across Japan and Vietnam. With a Master's in Computer Science from the University of Aizu, he builds production-grade anomaly detection and deep learning models (PyTorch/TensorFlow) while also shipping large-scale frontend IoT platforms for fleets using React/TypeScript and Redux. He has hands-on firmware and hardware experience with Nordic chips, ESP32, Raspberry Pi and has integrated cloud services across AWS/Azure/GCP for sensor-heavy solutions. Comfortable moving between C/C++, Python, and full-stack web stacks, he’s delivered projects for major clients like Mitsubishi and BitKey and trained teams on React/Redux best practices. Notably, he combines low-level embedded work and high-level ML pipelines—making him effective at turning sensor prototypes into scalable, user-facing products.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at The University of AizuBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Hanoi University of Science and Technology
English, Japanese, VietnameseProgramming languages (1)
Github contributions (5)
lecongaizu/Deep-Learning-Pytorch
May 2020 - Sep 2021
Contributions:20 commits, 15 pushes, 1 branch in 1 year 3 months
lecongaizu/GPS-tracking-in-RaspberyPi
Jan 2018 - May 2020
Contributions:3 commits, 4 pushes, 1 branch in 2 years 4 months
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