Summary
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.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Прикладная математика, Bachelor's degree, Прикладная математика at Высшая Школа Экономики
Nature Language Processing, Nature Language Processing at Yandex School of Data Analysis