Avinash Hindupur
Co-Founder at Idam AI
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolAvinash Hindupur is a product-minded technologist and co-founder with 11 years of experience building data-driven products and ML systems that reach millions of users. He has led product, data and machine learning teams at SHEROES and scaled founding-stage platforms at Babygogo, blending hands-on engineering with strategic product leadership. A pragmatic startup consultant and active open-source contributor, he maintains one of the most-used GAN resources on GitHub and iterates on data visualizations and research curation through projects like DeepHunt. Based in Hyderabad, he combines a biotech engineering background from IIT Guwahati with cross-functional startup experience across fintech, quick commerce and consumer products. Known for wearing many hats, he excels at turning ML research into usable product features and building energetic teams that ship.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Technology Department of Biotechnology, Bachelor of Technology Department of Biotechnology at Indian Institute of Technology, GuwahatiNarayanaKendriya Vidyalaya Sangathan
English, Hindi, Kannada, Telugu, Tamil, French
Stackoverflow
441reputation
20kreached
15answers
0questions
Github Skills (17)
data-visualizations10
python10
machine-learning10
data-visualisation10
generative-adversarial-network10
data-visualization10
matplotlib9
numpy8
pos-tagger6
nlp6
deep-learning6
automation6
nltk6
lemmatization6
github6
Programming languages (6)
Github contributions (5)
hindupuravinash/the-gan-zoo
Apr 2017 - Oct 2018
A list of all named GANs!
Role in this project:
ML Engineer
ML EngineerContributions:103 commits, 43 PRs, 95 pushes in 1 year 5 months
Contributions summary:Avinash primarily focused on updating and improving the analysis and presentation of GAN papers within the repository. Their contributions involved modifying the `timeline.py` script to refine the cumulative graph, update its y-axis, and save the plot instead of showing it. Further work included fixing discrepancies, correcting links, and adjusting the x-axis, indicative of iterative improvement to data visualization. The user also updated github stats with `update_github_stats(GANS)`.
pytorchdeep-learninggenerative-adversarial-networkmachine-learninggan
hindupuravinash/nips2017
Dec 2017 - Dec 2017
Contributions:26 commits, 9 PRs, 23 pushes in 17 days
nipsnips-2017
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