Maximelian Mumladze is a machine learning engineer with a decade of hands-on experience building performant systems across low- and high-level stacks, currently contributing at Tinkoff. He brings deep systems and compiler expertise from Huawei—where he added an MLIR dialect and multiple optimization passes that cut inference latency substantially—and led ML product engineering and LLM fine-tuning, real-time speech transcription, diarization, and quantized inference deployments as CTO at RECAP. Comfortable in C/C++17, Rust, C#, Python and assembler, he combines algorithmic curiosity with practical optimizations for Postgres-backed services and cloud-native k8s deployments. A MIPT-trained computer scientist now pursuing a Data Science master’s at Skolkovo, he pairs formal academic grounding with production impact on ML compilation and inference efficiency.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Skolkovo Institute of Science and Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:70 commits, 8 PRs, 51 pushes in 5 months
ecsgameecs-game-enginegamedevgame-development
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Maximelian Mumladze - Machine Learning Engineer at Tinkoff