Ivan Provilkov

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Summary

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Rockstar
Ivan Provilkov is a research engineer and product-minded leader with nine years of experience building and scaling ML-driven consumer products and research systems. He has led teams from 0 to 20 engineers, shipping AI character-driven apps that reached top-10 positions on the US Google Play Store and grew MRR into five figures through rigorous A/B testing and rapid hypothesis cycles. His background blends academic research—two first-author ACL/EMNLP papers and contributions used by major labs—with hands-on production work fine-tuning and serving models up to 13B parameters. At Yandex he advanced uncertainty estimation and novel decoding techniques; more recently he focuses on preference tuning, RL-based evaluations, and fine-tuning platforms at Together AI. Ivan pairs deep technical expertise in NLP and transformers with product metrics obsession (notably large jumps in messages/user and retention), and a history of turning research insights into measurable user and business impact.
code9 years of coding experience
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Github Skills (42)

pytorch10
python10
machine-learning10
reinforcement-learning10
deep-learning10
natural-language-processing10
computer-vision10
apple-silicon9
text-to-speech9
speaker-diarization9
depth-estimation9
nmt9
speech-to-text9
whisper9
swift9

Programming languages (4)

TeXSwiftJupyter NotebookPython

Github contributions (5)

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VProv/BPE-Dropout

Jul 2020 - Feb 2021

An official implementation of "BPE-Dropout: Simple and Effective Subword Regularization" algorithm.
Contributions:20 commits, 4 pushes, 1 branch in 7 months
regularization
VProv/JUNO

Nov 2018 - May 2019

Contributions:61 pushes in 6 months
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