Applied AI Research at Stanford Artificial Intelligence Laboratory (SAIL)
Palo Alto, California, United States
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Summary
👤
Senior
🎓
Top School
Radostin Cholakov is an ambitious Stanford undergraduate and incoming Applied AI intern at Ramp with a strong track record in NLP research, model quantization, and full‑stack engineering. He has contributed to published work on LUT-quantized LLMs (FLUTE) at MIT CSAIL and explored post-training of discrete diffusion models at SAIL, blending hands-on systems work with cutting‑edge ML research. Beyond research, he builds user-facing features—evidenced by a frontend feedback component in an open conference template—and designs scalable cloud architectures. As leader of Bulgaria’s IOAI teams he pairs technical depth with mentorship and competition coaching, helping teams win medals in 2024. Having started contributing to software projects in his early teens, he brings unusually early, broad experience spanning mobile apps, ML platforms, and production-ready research.
10 years of coding experience
5 years of employment as a software developer
Math High School "Acad. Kiril Popov"
OU Nikola Vapcarov - Barutin
Bachelor's degree, Bachelor's degree at Stanford University
Contributions:18 commits, 1 PR, 6 comments in 2 months
Contributions summary:Radostin primarily focused on implementing and integrating feedback functionality within the conference website template. They developed a feedback component, including star ratings, comment input, and delete options. The user also integrated the feedback component into the speaker and session detail dialogs, adding the corresponding icon and time window controls. These contributions involved changes to the user interface and interactions.
Contributions:26 reviews, 18 PRs, 51 pushes in 10 months
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Radostin Cholakov - Applied AI Research at Stanford Artificial Intelligence Laboratory (SAIL)