Sowmen Das

Machine Learning Research Engineer at MediaTek Research 聯發創新基地

London, England, United Kingdom
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Summary

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Senior
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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.
code8 years of coding experience
job2 years of employment as a software developer
bookMaster of Philosophy - MPhil, Machine Learning and Machine Intelligence, Master of Philosophy - MPhil, Machine Learning and Machine Intelligence at University of Cambridge
bookBachelor's degree, Computer Science, 3.96, Bachelor's degree, Computer Science, 3.96 at Shahjalal University of Science and Technology
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Github Skills (74)

tcp-server10
graph-algorithms10
breadth-first-search10
efficientnet10
imagenet10
optimizer10
depth-first-search10
dfs-algorithm10
resnet10
tcp-socket10
graph-drawing10
graph10
java10
tcp-client10
mobilenet10

Programming languages (6)

JavaC++RustJavaScriptJupyter NotebookPython

Github contributions (5)

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sowmen/face-cutout

Nov 2021 - Jan 2022

Code for the paper "Towards Solving the DeepFake Problem: An Analysis on Improving DeepFake Detection Using Dynamic Face Augmentation"; Sowmen Das, Selim Seferbekov, Arup Datta, Md. Saiful Islam, Md. Ruhul Amin; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 3776-3785.
Contributions:1 release, 11 commits, 11 pushes in 2 months
computer-visiondeepfake
Visualizes specific Graph Algorithms like BFS, DFS, MST etc. on interactive user input graphs.
Contributions:49 commits, 39 pushes, 1 branch in 2 years 8 months
graph-algorithmsjavafxjavafx-applicationjavafx-desktop-appsgraph
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