Chris Tegho is a Machine Learning Engineer based in London with nine years of experience building production ML systems, from fine-tuned models to graph-based knowledge systems. He combines an MPhil in Machine Learning, Speech and Language Technology from Cambridge with hands-on engineering across startups and consultancy, driving ML at Unitary and previously leading model work at Calipsa. His background in electrical engineering and energy analytics informs a pragmatic approach to feature engineering and signal-based model design, demonstrated in past power-disaggregation and grid-demand projects. Comfortable across cloud integrations and end-to-end pipelines, he has delivered automation and real-time decision tools for diverse sectors including retail, health, and energy. Colleagues describe him as someone who turns academic insight into robust, deployable systems while keeping an eye for non-obvious data signals that improve model performance.
9 years of coding experience
8 years of employment as a software developer
MPhil Machine Learning, Software Engineering, MPhil Machine Learning, Software Engineering at University of Cambridge
Bachelor of Engineering (BEng), Electrical Engineering, Bachelor of Engineering (BEng), Electrical Engineering at McGill University
Contributions:6 commits, 4 pushes, 1 branch in 11 months
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Chris Tegho - Machine Learning Engineer at Unitary