Milana Shkhanukova
Text-to-Speech Scientist at AppTek.ai
Germany
Summary
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Rockstar🎓
Top SchoolMilana Shkhanukova is a Text-to-Speech Scientist with six years of experience building NLP and audio systems, currently focused on production-grade TTS at AppTek.ai. She has driven large-scale projects—at Apple she developed a conversational TTS using diffusion models and managed a 70,000-hour dataset and distributed training for interleaved multi-speaker dialogue. Her background spans applied NLP work from intent classification and topic modeling that uncovered hidden intents to ASR rescoring improvements for rare-word recognition. Trained in computational linguistics (MSc, University of Stuttgart) and experienced across industry labs and startups, she blends research rigor with pragmatic engineering. Based in Germany, she’s also publicly principled on humanitarian issues, signaling a values-driven approach to technology.
6 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer linguistics, Bachelor's degree Computer linguistics at Higher School of EconomicsNatural Language Processing certificate Artificial Intelligence, Natural Language Processing certificate Artificial Intelligence at MIPTMaster of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at University of Stuttgart
Github Skills (33)
transformers10
recommendation-system10
diffusion-models10
inference-engine10
stable-diffusion10
inference10
openvino10
llm-inference10
deep-learning10
generative-ai10
ai10
natural-language-processing10
computer-vision10
speech-recognition10
nlp10
Programming languages (3)
Github contributions (5)
MilanaShhanukova/openvino
Nov 2021 - Jan 2022
OpenVINO™ Toolkit repository
Contributions:2 PRs, 65 pushes, 10 branches in 2 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
MilanaShhanukova/image_captioning
Jul 2021 - Jan 2023
Contributions:11 commits, 4 pushes, 1 branch in 1 year 7 months
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