Summary
Ifeanyi 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 Lagos
Self-Driving Car Engineer Nanodegree, ENGINEERING, Self-Driving Car Engineer Nanodegree, ENGINEERING at Udacity
Master of Science - MS, Engineering Artificial Intelligence, Master of Science - MS, Engineering Artificial Intelligence at Carnegie Mellon University
English, Igbo