Alexander Panin
Head Of Mobile at SaluteDev
Tashkent, Uzbekistan
Summary
🤩
Rockstar🎓
Top SchoolAlexander Panin is an experienced mobile engineering leader with 11+ years building production-grade mobile and ML-infused systems, currently heading mobile at SaluteDev and SberDevices. His background spans team leadership at Yandex where he shaped SpeechKit and large-scale audio data collection tools, and he brings deep technical chops in ML, quantization, and distributed LLM inference from active contributions to projects like bitsandbytes, Petals and Hivemind. Comfortable bridging research and production, he has implemented machine translation and RL coursework components, optimized quantized matmuls, and added tensor-parallelism and CPU quantization to speed LLM inference. Based in Tashkent with an advanced mathematical modeling education, he pairs rigorous academic training with pragmatic engineering, and his GitHub tagline “building the hivemind” reflects a long-standing interest in decentralized and collaborative ML systems.
11 years of coding experience
9 years of employment as a software developer
Специалист Математическое обеспечение и администрирование информационных систем, Специалист Математическое обеспечение и администрирование информационных систем at Ulyanovsk State Universityкандидат физико-математических наук 05.13.18 Математическое моделирование численные методы и комплексы программ, кандидат физико-математических наук 05.13.18 Математическое моделирование численные методы и комплексы программ at Tolyatti State University
Английский
Github Skills (28)
markdown10
machine-translation10
pytorch10
python10
back-end-development10
sphinx10
machine-learning10
lm10
word-embeddings10
large-language-models10
reinforcement-learning10
numpy10
llm10
deep-learning10
markdown-it10
Programming languages (8)
Github contributions (5)
learning-at-home/hivemind
Mar 2020 - Jan 2023
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Role in this project:
Technical Writer & Documentation Specialist
Technical Writer & Documentation SpecialistContributions:2 releases, 816 reviews, 713 commits in 2 years 10 months
Contributions summary:Alexander primarily contributed to the project by creating and updating documentation. They made minor fixes to the README file, initiated a Sphinx documentation quickstart, and configured Sphinx to support Markdown. The user also added sections, restructured content, and updated documentation-related configuration files, indicating a focus on improving project documentation. Overall, the user streamlined the documentation process and improved the project's user experience.
deep-learningpytorchvolunteer-computingmixture-of-expertsdistributed-training
yandexdataschool/Practical_RL
Jan 2017 - Jan 2021
A course in reinforcement learning in the wild
Role in this project:ML Engineer
ML EngineerContributions:1 release, 788 commits, 136 PRs in 4 years
Contributions summary:Alexander primarily contributed to a reinforcement learning course, as evidenced by the addition and modification of content related to the "FrozenLake" environment, the implementation of a neural network, and the application of the crossentropy method. The user's work involved defining policies, interacting with the environment, and evaluating agent performance, demonstrating a focus on hands-on reinforcement learning implementation. Additional contributions included refactoring and expanding the code for a generic policy optimization method, which included implementations for an agent.
reinforcement-learningdeep-learningdeep-reinforcement-learninggit-coursemooc
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