Joel Budu is a Machine Learning Engineer with nine years of experience building production-grade ML and computer vision systems, currently at Wayve in London. He has led engineering teams and MLOps at Wootzano and Ghana NLP, delivering novel solutions like stem-detection for delicate produce handling and a weight-prediction model with ~8% MAPE, plus pipelines that reduced training time to under 20% of previous durations. His background spans full-stack and backend systems—from scaling voice/SMS platforms and data collection at Farmerline to enterprise lending services at Carbon—bringing strong systems engineering to ML delivery. Joel combines academic grounding (MSc in Artificial Intelligence) with hands-on deployment on edge devices and ROS integrations, and he focuses on turning research-grade models into reliable, continuously learning products for local and international customers. An often-overlooked strength is his track record in enabling first-of-their-kind NLP applications for Ghanaian languages through open-source infrastructure and production pipelines.
9 years of coding experience
12 years of employment as a software developer
Physical Sciences, Physical Sciences at Mfantsipim School
Bachelor of Science (BSc) Electrical and Electronics Engineering, Bachelor of Science (BSc) Electrical and Electronics Engineering at Kwame Nkrumah University of Science and Technology, Kumasi
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Strathclyde
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