Ram Ramrakhya
PhD Candidate
Summary
🤩
RockstarRam Ramrakhya is a CS PhD candidate at Georgia Tech with a decade of software engineering experience specializing in full-stack development for AI-focused open-source projects. He has contributed significant front-end and back-end improvements to widely used Cloud-CV repositories like Fabrik—a browser-based neural network designer—and EvalAI, enhancing model visualization, UI/UX, and submission workflows. Comfortable across the stack, Ram has implemented new model integrations, handled export/parameter logic, and added collaborative features such as host team invitations and pagination refinements. His work shows a blend of research-oriented thinking and pragmatic product delivery, bridging academic rigor with production-quality code. Based in the United States, he brings a knack for turning complex ML tooling challenges into intuitive, user-facing solutions. An underrated strength is his ability to improve developer and user workflows simultaneously, often fixing subtle edge cases that unlock broader functionality.
10 years of coding experience
Stackoverflow
41reputation
3kreached
1answer
1question
Github Skills (22)
javascript10
ui-design10
uid10
front-end-development10
react10
visualization9
visualizations9
tensorflow9
neural-network9
keras9
html9
angularjs8
css8
caffe8
back-end-development7
Programming languages (13)
Github contributions (5)
Cloud-CV/Fabrik
Mar 2017 - Nov 2018
:factory: Collaboratively build, visualize, and design neural nets in browser
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:58 commits, 126 PRs, 38 pushes in 1 year 8 months
Contributions summary:Ram primarily contributed to the front-end development of the Fabrik project, focusing on the implementation of UI elements for visualizing and designing neural nets. Their work included adding new model options (All-CNN, Squeezenet, YOLONet, CoCo Caption, etc.) to the user interface and integrating features such as text generation and handling for overlapping layers. The user also addressed issues related to model export, parameter calculations, and the user interface.
caffe2browserfactoryvisualizejavascript
Cloud-CV/EvalAI
Jan 2017 - Dec 2022
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:768 reviews, 335 commits, 423 PRs in 6 years
Contributions summary:Ram primarily focused on front-end development, redesigning the 404 error page and implementing new features like host team invitations. They also made contributions to back-end functionality, such as adding a status option to the submission model and modifying the logic of a pagination system. Moreover, they were involved in updating the UI to add end dates to the show challenges.
pythondjangostate-of-the-artangular7tensorflow
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