Shahebaz Mohammad is a Kaggle Grandmaster and applied AI practitioner with nine years of experience delivering production ML systems and leading customer-facing AI teams across EMEA and NYC. Currently a Member of Forward Deployed Staff at OpenAI, he has scaled applied AI orgs from 0→1 at Snorkel and managed $10M+ ARR accounts at DataRobot, pairing pre-sales acumen with deep technical delivery. His background spans R&D, NLP research, and AutoML, including building compliant AutoKYC systems for European banks that saved millions and front-end contributions to the widely used Oppia learning platform. Known for hands-on experimentation with GPTs and a knack for translating research into business impact, he blends competitive data science pedigree with pragmatic engineering and product instincts.
9 years of coding experience
Jawaharlal Nehru Technological University Hyderabad
MicroMasters in Analytics Methods, MicroMasters in Analytics Methods at Georgia Institute of Technology
A free, online learning platform to make quality education accessible for all.
Role in this project:
Front-end Developer
Contributions:25 commits, 33 PRs, 9 branches in 1 year 5 months
Contributions summary:Shahebaz primarily contributed to the front-end of the Oppia platform, focusing on UI/UX improvements and bug fixes. They addressed issues related to tooltips, donation card styling, and button text rendering for different languages. Additionally, they replaced static image resources with Font Awesome icons, improved the responsiveness of the navbar, and made changes to the share buttons on the info card. Furthermore, the user made several changes related to the appearance of the avatar image, and also addressed issues with text overflow on summary cards.
Contributions:11 commits, 10 pushes, 1 branch in 2 years
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