Vlad Lialin
San Francisco, California, United States
Summary
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RockstarVladislav Lialin is a Machine Learning Research Engineer with a Ph.D. in Computer Science and NLP and over a decade of programming experience across industry and academia. He has 3 years of commercial ML engineering experience (pre-PhD), 7+ years in deep learning and data science, and a strong publication record including ACL and EMNLP, reflecting hands-on research-to-production expertise. Vladislav has interned at Google, Apple, and Amazon and worked at startups and research labs where he contributed to PyTorch, Fairseq, HuggingFace Transformers and T0, and now focuses on multimodal AI, efficient large-scale training, RLHF and AI safety. Based in San Francisco, he blends rigorous math/physics training from MIPT with practical engineering—enjoys building ML pet projects and brings a rare combination of research depth and production experience aimed at next-gen AI systems. Unexpectedly, he channels creative thinking from hobbies like piano and music theory into his approach to modeling and problem decomposition.
11 years of coding experience
Stackoverflow
21reputation
3kreached
1answer
3questions
Github Skills (186)
transformers10
entity-extraction10
python10
fasttext10
dialogue-systems10
deep-learning10
gpu10
gemma10
sequence-to-sequence10
glm10
word2vec10
multimodal10
editor10
numpy10
ml10
Programming languages (11)
Github contributions (5)
Guitaricet/relora
May 2023 - May 2024
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
Contributions:1 PR, 161 pushes, 3 branches in 1 year
deep-learningdistributed-trainingllamanlppeft
Guitaricet/marv
Apr 2023 - May 2025
Friendly AI for your group chats on Telegram (ChatGPT API based)
Contributions:11 PRs, 11 pushes, 6 branches in 2 years 1 month
chatgptdockernlpopenaitelegram
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