Summary
Fabricio Flores is a Senior Machine Learning Engineer with 12 years of experience blending research-grade ML with production AI solutions, currently driving AI software at AMD. He has a strong academic foundation from Carnegie Mellon and a track record delivering impactful systems across e-commerce, industrial IoT, and semiconductor manufacturing—from inventory optimization and image-quality indexing at Walmart to predictive maintenance and defect detection at Fortive. Comfortable across the stack, he pairs deep learning and computer vision expertise with frontend and full-stack skills (Vue, Angular, Node.js, Ruby on Rails), enabling end-to-end deployments and realtime monitoring. Known for translating domain knowledge into practical models, he has built ML-driven web frameworks and large-scale sensor deployments for occupancy and asset monitoring. Based in Loja, Fabricio brings a pragmatic research-to-production mindset that surfaces useful metrics (e.g., custom image quality indices) rather than black-box models.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Science Computational and Applied Mathematics, Bachelor of Science Computational and Applied Mathematics at Escuela Politécnica Nacional
Master of Science Smart Infrastucture Systems (Machine Learning and IoT Sensing), Master of Science Smart Infrastucture Systems (Machine Learning and IoT Sensing) at Carnegie Mellon University
Spanish, English