Jose Heras is a Principal Research Engineer who designs and deploys trusted ML systems for spacecraft operations, combining 20+ years in AI with 16 years at ESA/ESOC to bridge operator needs and technical feasibility. He has delivered mission-critical production systems—from an 80x faster telemetry infrastructure used by 200+ operators across 15+ ESA missions to on-board anomaly detection and 85% telemetry compression for deep-space links. His strength is translating operational constraints into explainable, maintainable ML that fits existing workflows, which is why flight controllers rely on his tools in live operations. Jose is also a practiced educator and inventor—author of patents and creator of ML training used across ESA, ECB and EUMETSAT—so he builds capability as well as code. Based in Darmstadt, he prefers problems where domain nuance matters more than marginal accuracy gains.
8 years of coding experience
18 years of employment as a software developer
Engineer's Degree Computer Science, Engineer's Degree Computer Science at Universidad de Málaga
Deep Learning Nanodegree Foundation, Deep Learning Nanodegree Foundation at Udacity
Master's Degree Soft Computing and Intelligent Systems, Master's Degree Soft Computing and Intelligent Systems at Universidad de Granada
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Universidad de Córdoba
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