Ifeanyi Igwegbe
TinyML Ambassador at Edge Impulse
Japan
Summary
👤
Senior🎓
Top SchoolIfeanyi Igwegbe is a TinyML Ambassador and machine learning engineer with nine years of experience building and deploying computer vision and edge AI systems. He has delivered production object detection and medical imaging solutions, optimized models for resource-constrained devices, and applied differential privacy and route-optimization proofs of concept for real-world clients. Comfortable at the intersection of hardware and software, he began as a hardware engineer and now trains deep neural nets on edge devices while reducing deployment friction. He has mentored and led technical training programs for hundreds of students, demonstrating a talent for turning complex ML concepts into practical curricula. Based in Japan and trained at Carnegie Mellon (MS in Engineering AI), he combines rigorous academic grounding with hands-on product delivery. A detail that sets him apart: he blends mechanical engineering roots with TinyML expertise to design both enclosures and the models that run inside them.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at University of LagosSelf-Driving Car Engineer Nanodegree, ENGINEERING, Self-Driving Car Engineer Nanodegree, ENGINEERING at UdacityMaster of Science - MS, Engineering Artificial Intelligence, Master of Science - MS, Engineering Artificial Intelligence at Carnegie Mellon University
English, Igbo
Github Skills (103)
python10
deep-learning10
ml10
tinyml10
neural-network10
computer-vision10
neural-architecture-search10
data-science10
tensorflow10
deepstream10
machine-learning10
deep-neural-networks10
gstreamer9
cycle9
nvidia9
Programming languages (7)
Github contributions (5)
gigwegbe/Computer-Vision-with-Python-3
Dec 2017 - Jan 2018
Contributions:22 commits, 21 pushes, 1 branch in 1 month
gigwegbe/tiny-fsdl
Sep 2022 - Oct 2022
Contributions:25 commits, 2 PRs, 23 pushes in 21 days
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