Rahul Deora

AI Lead at Fynd (Shopsense Retail Technologies Ltd.)

Mumbai, Maharashtra, India
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Summary

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Senior
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Top School
Rahul Deora is an AI lead with 8 years of experience building production ML and computer vision systems across medical imaging, e-commerce, agriculture, and representation learning. Based in Mumbai, he drives AI strategy and productization at Fynd, having led teams that shipped high-traffic tools (erase.bg, upscale.media) and a fashion-focused image diffusion suite that supports large-scale photo/video automation. He combines a statistics background and published research in image matting with hands-on engineering—optimizing inference on TensorRT and AWS Inferentia and launching BharatDiffusion to seed Indian image foundation models. Rahul also embeds ML product management, data governance, and real-world LLM evaluation pipelines into platforms, and partners with robotics teams on vision-driven retail automation. Outside core products he writes technical blogs and tutorials, reflecting a strong focus on translating research into scalable, user-facing systems.
code8 years of coding experience
job2 years of employment as a software developer
bookFull Stack Data Science Engineering, Machine Learning, Full Stack Data Science Engineering, Machine Learning at GreyAtom
bookData Analyst Nanodegree, Data Analyst Nanodegree at Udacity
bookBachelors, Mathematics and Statistics, Bachelors, Mathematics and Statistics at Mithibai College of Arts Chauhan Institute of Science and A.J. College of Commerce and Economics
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Stackoverflow

Stats
157reputation
9kreached
1answer
10questions
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Github Skills (164)

python10
image-processing10
deep-learning10
gpu10
gpu-acceleration10
numpy10
neural-network10
object-detection10
computer-vision10
tensor10
image-segmentation10
autograd10
pytorch10
machine-learning10
segmentation10

Programming languages (7)

TypeScriptC++ShellJavaScriptJupyter NotebookPythonCuda

Github contributions (5)

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Contributions:81 commits, 78 pushes, 1 branch in 1 year 1 month
Contributions:27 commits, 26 pushes, 1 branch in 4 months
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