Luis Avila is a Tech Innovation Engineer Associate Manager at Accenture México with a decade of experience blending physics-driven research and applied machine learning to solve real-world problems. Trained as a physicist with a PhD focus in optics, he has transitioned from academic image‑processing research—designing TSR‑invariant algorithms using fractional Fourier and Mellin transforms—to leading R&D and data engineering initiatives in AI. He brings strong computer vision and data science chops, informed by hands-on work in MATLAB and OCaml and contributions to community learning repos that showcase functional programming skills. Based in Ensenada, he pairs deep analytical rigor with product-minded execution, building dashboards, statistical models and production-ready AI prototypes. Outside work he studies computer science, enjoys cinema and horror novels, and channels that curiosity into practical, creative projects.
10 years of coding experience
4 years of employment as a software developer
Physics, Physics at Universidad Autónoma de Baja California
Ph. D. degree Optics, Ph. D. degree Optics at Centro de Investigación Científica y de Educación Superior de Ensenada
Ruta de estudio basada en ejercicios de código de la comunidad MoureDev para aprender y practicar lógica usando cualquier lenguaje de programación.
Role in this project:
Back-end Developer
Contributions:33 PRs in 7 months
Contributions summary:Luis contributed OCaml code, primarily focused on learning and practicing programming logic and syntax, with examples demonstrating features like data types, functions, recursion, and data structures. They completed a series of programming challenges, implementing solutions in OCaml. Their work demonstrates a foundational understanding of functional programming principles and the OCaml language.
Contributions:63 commits, 31 PRs, 63 pushes in 1 year 7 months
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Luis Avila - Tech Innovation Engineer Associate Manager