Summary
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Top SchoolAlexander Tsvyashchenko is a Staff Research Engineer with 16 years of experience building and leading large-scale ML and systems projects, currently researching sparsity and modularity at Google DeepMind. He combines deep engineering chops in C++, Python, LLVM, and GPU/FPGA toolchains with applied ML expertise across multimodal, vision, and autonomous flight domains, having contributed to Pathways, T5X and PaLM at Google Brain. Comfortable owning projects end-to-end, he architects high-performance distributed software that handles Google-scale data and brings formal verification and certification mindset to safety-critical systems. He has a long history of shipping production-grade algorithms and frameworks, leading research teams, and rapidly picking up new domains and tooling. A detail not obvious from titles: he repeatedly bridges low-level systems work (drivers, compilers, hardware kernels) with state-of-the-art ML research, making him effective at turning cutting-edge models into deployable, certifiable systems.
16 years of coding experience
25 years of employment as a software developer
Kiev Lyceum of Natural Sciences No 145
Master of Science with distinction Computer Science, Master of Science with distinction Computer Science at Taras Shevchenko National University of Kyiv
Russian, Ukrainian, English, German, German