Rohit Singhal
Product Designer at Independent Design Studio
Gurugram, Haryana, India
Summary
🤩
Rockstar🎓
Top SchoolRohit Singhal is a product designer and former ML engineer with eight years of experience blending design, product strategy, and applied machine learning across startups and enterprises. An IIT Roorkee alum, he has shipped features and systems at Classplus and BiteSpeed, built ML monitoring and physics-informed models at Wells Fargo and GE, and contributed educational ML notebooks to the popular d2l-pytorch repo. He now runs an independent design studio while building Pebble, an AI tutor that teaches K–12 students to code, combining pedagogical thinking with hands-on product design. Rohit also freelances on UX and product engagements and translates David Deutsch’s The Beginning of Infinity into Hindi—an unusual mix that reflects his curiosity across technology, education, and ideas.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Roorkee
English, Hindi
Github Skills (7)
computer-vision10
pytorch10
deep-learning10
data-science10
docbook8
textbook8
storybook8
Programming languages (2)
Github contributions (5)
dsgiitr/d2l-pytorch
May 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:
Data Scientist
Data ScientistContributions:13 commits, 8 PRs, 6 pushes in 3 months
Contributions summary:Rohit contributed a notebook detailing probability and statistics concepts, indicating a focus on foundational knowledge for machine learning. They added a notebook implementing softmax regression from scratch. Furthermore, a notebook exploring neural style transfer was added to the repository.
d2lnlppytorchmxnetpytorch-implmention
rsinghal757/agent-random-vs-agent-ml
Oct 2018 - Nov 2019
Contributions:3 pushes in 1 year 1 month
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