Dmitry Lamanov
Member Of Technical Staff at Udio
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolDmitry Lamanov is a Machine Learning and Deep Learning engineer with 11 years’ experience specializing in Music and Speech Generative AI, MIR, DSP, ASR and NLP, currently contributing to generative music AI at Udio. He has productized research for services with 100M+ monthly active users, shipping singing voice synthesis, music-by-humming search, AI dubbing pipelines and voice biometrics at scale. Dmitry blends academic rigor—peer-reviewed publications and conference talks—with hands-on system design as an MLE/SWE, optimizing backend, deployment and noisy-label training pipelines. At Casperaki he built controllable generative music systems from scratch and led a small AI team; at Huawei he pretrained foundation models for the music domain and operationalized large data collection efforts. Based in Edinburgh and UK-authorized to work without sponsorship, he pairs deep signal-processing intuition with practical production engineering.
11 years of coding experience
6 years of employment as a software developer
Master's degree Applied Mathematics and Computer Science, Master's degree Applied Mathematics and Computer Science at Saint Petersburg State University
English, Russian
Github Skills (16)
converter9
translation9
abstraction8
ivy8
python8
tensorflow7
pytorch7
machine-learning7
deep-learning7
neural-network6
gpu6
numpy5
data-science5
mxnet5
jax3
Programming languages (2)
Github contributions (5)
l11ama/quora_question_pairs_kaggle
Oct 2019 - Jan 2020
Contributions:21 commits, 2 PRs, 26 pushes in 3 months
l11ama/fish-diffusion
Aug 2023 - Jan 2024
An easy to understand TTS / SVS / SVC framework
Contributions:6 pushes in 4 months
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