Shubham Sahoo
Machine Learning Engineer at Snap Inc.
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolShubham Sahoo is a Machine Learning Engineer with eight years of experience building computer vision and multimodal AI systems, currently at Snap after research and engineering roles at NeuroPixel.AI and Analog Devices. He combines deep academic grounding from IIT Kharagpur with hands-on expertise in diffusion models, CUDA/Triton optimization, and large-scale system design, and has contributed to open-source CV projects including Kornia. Known for bridging research and production, he led geometric vision efforts for autonomy and later focused on generative and multimodal architectures. Based in London, he actively pursues leadership roles that advance vision-driven generative AI and open-source innovation, often bringing low-level performance tuning into high-level model design.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at Indian Institute of Technology, Kharagpur
Github Skills (36)
transformers10
recommendation-system10
diffusion-models10
inference-engine10
stable-diffusion10
inference10
dialog10
openvino10
llm-inference10
deep-learning10
generative-ai10
ai10
natural-language-processing10
computer-vision10
speech-recognition10
Programming languages (3)
Github contributions (5)
apprenticearnab/ReinforceBots
Dec 2020 - Dec 2020
Contributions:10 commits, 3 PRs, 1 comment in 22 days
Shubham-Sahoo/Obstacle-Avoidance-on-UAV
Jul 2019 - Jul 2019
Contributions:29 commits, 1 issue in 1 day
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