Summary
Néstor Hernández is an AI Engineer with 18 years of hands-on experience and a PhD in Computer Vision and Robotics, specializing in bringing ML research into reliable production through MLOps. He has a strong track record across LLMs, NLP, computer vision and robotics, and has authored over 20 scientific publications that inform his pragmatic approach to model development and deployment. At Omniloy he designs low-latency voice-to-voice pipelines combining ASR, LLMs and TTS to automate repetitive workflows in healthcare, while previously upgrading production models to state-of-the-art standards that improved traceability and repeatability. Comfortable across research and engineering, he has built real-time control systems for telescopes, low-cost ADAS prototypes, and scalable monitoring and testing infrastructures. Colleagues rely on him to bridge academic rigor and production constraints, optimizing models, observability and deployment practices to deliver measurable impact.
18 years of coding experience