Logan Hart is a Deep Learning Data Engineer specializing in text-to-speech (TTS) with four years of hands-on experience building audio and speech datasets and integrating models into open-source TTS tooling. Currently at Cantina Labs, he focuses on scaling and curating high-quality speech data, having previously led data efforts and contributed to TTS research at Coqui. His background in computer science and engineering physics gives him a strong foundation in both algorithmic thinking and signal-aware data processing. Known for turning experimental models into usable pipelines, he blends research-oriented curiosity with practical engineering to ship reproducible, production-ready datasets and tools.
4 years of coding experience
1 year of employment as a software developer
Computer Science and Engineering Physics, Computer Science and Engineering Physics at Northern Kentucky University
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