Ashwin Bose is a Cloud Engineer Intern and MEng Computer Science student at Imperial College London with nine years of practical experience blending software engineering, robotics, and AI research. He builds scalable systems that bring research ideas into production—examples include a full-stack prototype integrating LLMs for real-time marketing insights and research on model analyzability and drift localization. His open-source work includes implementing multi-agent path-planning algorithms and visualizations in Python, highlighting a strong algorithmic and planning focus rooted in robotics. Based in Ashford, UK, he thrives at the intersection of novel ML methods and cloud-native engineering, and is particularly interested in making complex model behaviors interpretable and operationally robust.
9 years of coding experience
MEng, Computer Science, 1st Year - First Class, MEng, Computer Science, 1st Year - First Class at Imperial College London
Contributions:7 commits, 6 pushes, 3 branches in 2 years 8 months
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