Summary
Agustín Valencia is an experienced researcher and AI practitioner with a decade of hands-on experience spanning embedded systems, automation, machine learning and software development. Currently at Ericsson Research focusing on Trustworthy AI, he previously architected AI frameworks and applied time-series forecasting to reduce hardware alarms and operational carbon footprint in radio base stations. Trained as an electronics technician and holding an MSc in Statistics and Machine Learning, he bridges low-level hardware insight with rigorous statistical modelling—an asset in domains from circuit simulation to telecom and game development. He has worked in R&D at Synopsys, developed games in Unity, and consulted on 5G carrier aggregation, demonstrating versatility across industries. Colleagues describe him as someone who seeks challenges primarily for learning opportunities rather than to prove ability, bringing curiosity-driven problem solving to production-grade systems.
10 years of coding experience
10 years of employment as a software developer
Master's degree, Statistics and Machine Learning, Master's degree, Statistics and Machine Learning at Linköpings universitet
Bachelor of Science - BS, Electronics Engineering, Bachelor of Science - BS, Electronics Engineering at Pontificia Universidad Católica de Valparaíso
Electronics Technician, Electronics Technician at Colegio Salesiano de Valparaíso