Oluwole Oyetoke
Software Engineer at Bloomberg LP
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolOluwole Oyetoke is an Embedded Systems Engineer with nine years’ experience building firmware and embedded applications across payments and semiconductor domains. He holds a Distinction MSc in Embedded Systems from the University of Leeds and a First Class B.Eng. in Information and Communication Engineering, blending strong academic foundations with practical delivery at companies like Worldline and Imagination Technologies. His background spans hands-on embedded application development, IT support and systems rollout, and a persistent interest in applying software and AI for global good. Comfortable working in enterprise environments, he brings cross-functional experience from internships through professional roles and a track record of shipping reliable, production-ready embedded solutions. An analytical problem-solver based in England, he pairs low-level engineering rigor with an eye for how embedded systems can integrate into larger, impactful products.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Information and Communication Engineering (ICE), Bachelor of Engineering (B.Eng.) Information and Communication Engineering (ICE) at Covenant UniversityMaster’s Degree Embedded Systems Engineering, Master’s Degree Embedded Systems Engineering at University of Leeds
Stackoverflow
570reputation
44kreached
7answers
15questions
Github Skills (33)
python10
machine-learning9
matconvnet9
tensorflow9
neural-network9
tensorflow-lite9
deep-learning9
convolution9
matlab8
face-recognition8
deep-neural-networks8
ml8
facenet7
computer-vision7
face-detection7
Programming languages (7)
Github contributions (5)
OluwoleOyetoke/Computer_Vision_Using_TensorFlowLite
Nov 2017 - Apr 2020
On this project, AlexNet Convolution Neural Network is trained using traffic sign images from the German Road Traffic Sign Benchmark. The initially trained network is then quantized and optimized for deployment on mobile devices using TensorFlow Lite
Contributions:51 commits, 43 pushes, 1 branch in 2 years 4 months
convolutionmobileneural-networktensorflow-lite
OluwoleOyetoke/Accelerated-Android-Vision
Nov 2017 - Jan 2018
Contributions:25 commits, 18 pushes, 1 branch in 1 month
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