Mikhail Kim

Machine Learning Engineer at Palabra.ai

London, England, United Kingdom
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Summary

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Mikhail Kim is a Machine Learning Engineer based in London with nine years of hands-on experience in deep learning across computer vision (2D and some 3D), NLP, audio (ASR, TTS) and generative models. He has driven multimodal and self-supervised research and product work—from dataset curation to training and fine-tuning encoders and generative models (including DPO and LoRA)—and co-created UForm models for efficient multimodal semantic search. Mikhail has moved models into applied settings at companies like Unum and M.Video and continues to bridge research and engineering in startup environments such as Palabra.ai. His academic foundation in applied mathematics and NLP training at Yandex School of Data Analysis support a rigorous, measurement-driven approach to model development. He also curates a machine learning methods section for the popular science site sysblok.ru, signaling a talent for translating complex research to broader audiences. Notably, his background includes self-supervision research on 3D representations (point clouds, voxels, meshes), reflecting a wider technical breadth than typical CV/NLP specialists.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Прикладная математика, Bachelor's degree, Прикладная математика at Высшая Школа Экономики
bookNature Language Processing, Nature Language Processing at Yandex School of Data Analysis
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Github Skills (152)

semantic-search10
clustering10
representation-learning10
fuzzy-search10
image-search10
clip10
text-search10
full-text-search10
huggingface-transformers10
bert10
contrastive-learning10
openai-clip9
multimodal9
recommender-system9
database9

Programming languages (8)

C++RustCGoObjective-CJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:3 pushes, 1 branch in 1 year 2 months
kimihailv/dla

Oct 2021 - Dec 2021

Contributions:32 pushes, 2 branches in 2 months
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