Ilya Shigabeev is a machine learning founder and engineer with a decade of experience building production AI systems for voice cloning, TTS, and image generation from San Francisco. He bootstrapped Lang Swap App, a serverless SaaS that auto-dubs videos into 17 languages, and has led data acquisition and model fine-tuning efforts at Cantina Labs to scale text-to-image training with millions of high-resolution images. As CTO of SuperTranslator he designed data pipelines, labeled large-scale vision datasets, and trained robust computer-vision models with minimal data while hiring and mentoring engineering teams. His work includes creating XTTS pipelines that processed ~100K hours of speech and a 10-second-input voice cloning system, showing a practical focus on data engineering and low-data generalization. Comfortable bridging research and product, he repeatedly invents tooling—automated prompt-improvement and high-volume acquisition systems—that turns cutting-edge models into reliable, deployable features.
10 years of coding experience
5 years of employment as a software developer
Machine Learning, Machine Learning at Higher School of Economics
Udacity
National University of Science and Technology "MISIS" (Moscow Institute of Steel and Alloys)
Computer Science, Computer Science at Harvard University
Contributions:2 releases, 19 pushes, 1 branch in 11 months
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