Suvaansh Bhambri
Machine Learning Engineer III at Adobe
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolSuvaansh Bhambri is a Machine Learning Engineer III based in Bengaluru with eight years of experience focused on deep learning and generative AI research. He has blended academic research at IISc’s Video Analytics Lab with industry roles at Rephrase.ai and Adobe, where he currently pursues generative AI projects. Skilled in computer vision and SSD-based object detection, he has contributed practical PyTorch utilities to reproduce the popular Dive Into Deep Learning material. Comfortable moving models from research into applied settings, Suvaansh is open to year-long research opportunities that bridge cutting-edge ML research and product-facing systems.
8 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Roorkee
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
computer-vision10
pytorch10
deeplearning-ai10
deep-learning10
python10
data-science9
Programming languages (2)
Github contributions (5)
dsgiitr/d2l-pytorch
Sep 2019 - Sep 2019
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Role in this project:
ML Engineer
ML EngineerContributions:14 commits, 2 PRs, 3 pushes in 16 days
Contributions summary:Suvaansh added utility files related to SSD (Single Shot Multibox Detection), suggesting a focus on computer vision and object detection tasks. They implemented functions for image inference using a trained SSD model, including bounding box drawing and text overlay. These contributions demonstrate practical application of deep learning concepts for image analysis within the PyTorch framework.
d2lnlppytorchmxnetpytorch-implmention
val-iisc/StickerDA
Jul 2022 - Jul 2022
Contributions:17 commits in 1 day
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