Summary
Miguel Araya is a Specialist Machine Learning Engineer with an MSc in Electrical Engineering and eight years of experience building production-grade AI systems across retail, finance, national research, and industry. He has led end-to-end MLOps projects—from retrieval-augmented generation platforms and streaming voice agents to transformer-based forecasting, anomaly detection, and face anti-spoofing—demonstrating both research rigour and product focus. At Walmart and Defontana he shipped scalable IR, forecasting, and recommender systems; more recently he joined Equifax to continue applied ML at scale. His background in Bayesian statistics, information theory, and NLP/computer vision enables principled solutions that balance uncertainty quantification with performance. He pairs academic research (University of Chile) with hands-on deployment experience, often integrating novel deep models into robust operational pipelines. An understated strength is his cross-domain fluency—applying techniques from astronomy and mining telemetry to commerce and authentication problems.
8 years of coding experience
8 years of employment as a software developer
Master of Science, Electrical Engineering, Master of Science, Electrical Engineering at University of Chile