Summary
Artem Gorodetskii is a Senior Research Scientist with a decade of interdisciplinary experience building production-grade AI systems, now at NVIDIA after recent R&D roles focused on LLMs, TTS and code-generation. He led end-to-end development of large-scale LLM-based text-to-speech systems (including a namesake synthetic voice), designed crowdsourced benchmarks, and shipped RL-based post-training workflows and a RAG-backed code search for unit-test generation. His background spans academia and industry—PhD-trained in physics with published research on inverse problems and medical imaging—bringing strong foundations in modeling, experiment design, and scalable data pipelines. Pragmatic and research-driven, Artem blends hands-on model engineering, ML infrastructure, and team mentorship to move novel models from prototype to production.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Novosibirsk State University (NSU)
English, Russian