Rubel Chowdhury
Data Scientist
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolRubel Chowdhury is a data scientist with 9 years of experience specializing in computer vision and deep learning, currently driving analytics work at Fidelity Investments from Bengaluru. He led development of a vision-based self-checkout system at Xplorazzi that classifies 200+ SKUs with 95% accuracy and designed mechanisms to onboard new items via synthetic 3D-rendered data and generative bridging techniques. His background includes building virtual try-on and visual similarity search capabilities for fashion recommendation engines and automating annotation workflows to accelerate detection model training. Trained in statistical methods at the Indian Statistical Institute, he combines rigorous ML and statistical foundations with hands-on deployment experience. Rubel’s work blends research-grade modeling with pragmatic engineering—often closing the real/synthetic data gap to make computer vision systems robust in production.
9 years of coding experience
5 years of employment as a software developer
12th with Physics, Mathematics and Chemistry, 12th with Physics, Mathematics and Chemistry at Netaji Subhas Vidyaniketan, AgartalaBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at UVCEPG Diploma, Statistical Methods and Analytics, PG Diploma, Statistical Methods and Analytics at Indian Statistical Institute, Kolkata
Github Skills (16)
normal10
rendering9
shading8
keras8
pytorch7
statistics6
object-detection6
tensorflow6
mask-rcnn4
generative-adversarial-network4
instance-segmentation4
arxiv3
computer-graphics2
photo2
computer-vision2
Programming languages (2)
Github contributions (5)
rubelchowdhury20/statistics-110-probability-lectures-and-homework
May 2020 - Nov 2020
This repository contains lecture notes and homework of Statistics 110: Probability by Joe Blitzstein.
Contributions:25 commits, 20 pushes in 5 months
statistics
rubelchowdhury20/Neural-Re-Rendering-of-Humans-from-a-Single-Image
Sep 2020 - Apr 2021
Pytorch implementation of the paper, Neural re-rendering of humans from a single image.
Contributions:56 commits, 53 pushes, 5 branches in 6 months
pytorchrenderingvirtual-try-onpix2pixhdatlas-texture
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