Summary
Sowmen Das is a Machine Learning Research Engineer and MPhil candidate at the University of Cambridge, specializing in computer vision and visual-language modeling with additional interests in robotics, graph neural networks, and AI security. With eight years of experience spanning industry and research roles—from building SOTA vision pipelines for autonomous delivery at Boltu Robotics to profiling GPT-4 capabilities for remote sensing at Cambridge Applied ML Lab—he bridges practical deployment and academic inquiry. At MediaTek Research he applies this blend to advance applied ML solutions, drawing on hands-on expertise with PyTorch, AWS SageMaker, and time-series forecasting techniques. Notably, his work on systematic LLM evaluation for geospatial tasks hints at a rare focus on benchmarking large models for domain-specific, application-driven needs.
8 years of coding experience
2 years of employment as a software developer
Master of Philosophy - MPhil, Machine Learning and Machine Intelligence, Master of Philosophy - MPhil, Machine Learning and Machine Intelligence at University of Cambridge
Bachelor's degree, Computer Science, 3.96, Bachelor's degree, Computer Science, 3.96 at Shahjalal University of Science and Technology