Joseph Aghoghovbia is an aspiring research scientist and MSc Computing graduate based in London with three years’ experience applying classical statistical techniques and deep generative models to real-world problems. He combines a First Class BE in Electronic Engineering from King’s College with hands-on teaching and consulting experience—having supported computing labs and tutored foundations courses while working as a technology consultant at EY. Comfortable bridging theory and implementation, he focuses on advancing AI and computational systems with a pragmatic bent for engineering reliable solutions. Notably, his background in electronics gives him a hardware-aware perspective on ML system design, enabling cross-disciplinary approaches to modelling and deployment.
3 years of coding experience
Master of Science - MSc, Computing, Master of Science - MSc, Computing at Imperial College London
Bachelor of Engineering - BE, Electronic Engineering, First Class, Bachelor of Engineering - BE, Electronic Engineering, First Class at King's College London
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