Radostin Cholakov

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.
code10 years of coding experience
job5 years of employment as a software developer
bookMath High School "Acad. Kiril Popov"
bookOU Nikola Vapcarov - Barutin
bookBachelor's degree, Bachelor's degree at Stanford University
languagesBulgarian, English
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Stackoverflow

Stats
700reputation
297kreached
10answers
10questions
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Github Skills (16)

html10
lit-element10
material-design10
polymer10
javascript10
web-components10
redux10
firestore9
firebase9
css9
pwapp7
cursor6
admob6
unity-game-engine6
android6

Programming languages (14)

C#JavaCSSC++VueHTMLJupyter NotebookCuda

Github contributions (5)

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gdg-x/hoverboard

Jul 2019 - Sep 2019

Conference website template
Role in this project:
userFront-end Developer
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.
lit-elementtemplatefirestoreweb-componentsfirebase
radi-cho/awesome-gpt4

Dec 2022 - Nov 2023

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)