Vladislav Bataev
AI Scientist at Mistral AI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVladislav Bataev is an AI Scientist with a decade of experience building and shipping ML/DL systems for speech and language, currently working on LLM post-training and reasoning at Mistral AI. Previously he led teams at Yandex developing automatic dubbing, TTS improvements and voice cloning, and at Replika built a voice stack from scratch including production emotional TTS voices and ASR datasets. His background blends hands-on research and production optimization—he delivered a 20% RPS boost by tuning GPT inference with ONNX Runtime and Triton and has deep expertise in prosody and neural TTS from multiple roles at Tinkoff Bank. Trained at MIPT and Yandex School of Data Analysis, he combines strong academic foundations with practical experience moving research models into reliable, scalable products. An interesting thread through his career is repeatedly taking nascent speech research into production-ready systems, from acoustic training pipelines to large-scale inference optimizations.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Computer science, Master's degree, Computer science at Moscow Institute of Physics and Technology (State University) (MIPT)Big Data department, Big Data department at Yandex School of Data Analysis
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (45)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
speech-to-text9
deep-neural-networks9
neural-network9
location9
speech9
shell8
cuda8
arxiv8
crf8
Programming languages (5)
Github contributions (5)
vladbataev/ysda
Feb 2017 - Oct 2017
Contributions:12 commits, 10 pushes, 1 branch in 8 months
vladbataev/handwriting_synthesis
Nov 2019 - Sep 2022
Handwriting synthesis with deep sequence models. Reimplementation of the paper https://arxiv.org/abs/1308.0850
Contributions:3 commits, 1 PR, 3 pushes in 2 years 10 months
pytorchsequencearxivabssequence-models
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