Toma Kolev is a software engineer and UCL MEng student with nine years of hands-on experience building computer vision and graphics systems, currently developing ML-driven MRI diagnostic tools at Smartsoft Healthcare. He designs distributed pipelines that process large-scale medical imaging, crafts algorithms to sanitize and augment sparsely labeled training data, and builds clinician-facing visualizations that adapt to each practice’s workflow. Early experience in game engine and graphics programming (D3D11/12, OpenGL, HLSL/GLSL) informs his performance-first approach to systems like custom cache-friendly ECS and real-time rendering shaders. Comfortable across C++, Python, and C#, he bridges low-level performance engineering with applied ML for healthcare and brings a Linux enthusiast’s mindset to tooling and deployment. An active personal project owner (FlameEngine) and a nanotechnology minor, he combines imaging, hardware-aware thinking, and user-centered visualization to make complex medical ML both reliable and practical.
9 years of coding experience
A level, Mathematics, A*, A level, Mathematics, A* at City and Islington College
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