Summary
Miguel Vera is a systems engineer and AI practitioner with a decade of experience delivering production-grade machine learning systems, currently at Cloudflare in Lisbon. He specializes in NLP, quality estimation and machine translation, having led research-to-production projects at Unbabel that included OpenKiwi and award-winning QE models. Miguel scaled model inference 100x with an optimized FastAPI-based architecture and built end-to-end automated quality reporting that tied ML metrics to business KPIs, reducing editor operational costs by nearly 39%. He holds an MSc in Computer Engineering with a focus on neural network interpretability and combines research credibility (top placements in QE shared tasks and ACL publications) with strong engineering discipline. Beyond work he channels curiosity into philosophy, competitive weightlifting, and hands-on side projects, reflecting a pragmatic yet exploratory approach to building systems.
10 years of coding experience
5 years of employment as a software developer
Athen's Programme, Physical Computing based on open hardware and software platforms, 20, Athen's Programme, Physical Computing based on open hardware and software platforms, 20 at Universidad Politécnica de Madrid
Athen's Course in Cloud Computing and Software Defined Networking, 17, Athen's Course in Cloud Computing and Software Defined Networking, 17 at Télécom ParisTech
Athen's Course in Paralelization and Distributed Computing, 20, Athen's Course in Paralelization and Distributed Computing, 20 at Technische Universität München
Master of Science (MSc), Computer Engineering, Master of Science (MSc), Computer Engineering at Instituto Superior Técnico
English, Spanish