Senior Specialist Software Engineer C (via Qualitest) at Meta
Lausanne, Vaud, Switzerland
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
Miguel Castaño is a software engineer blending five-plus years of high-performance engineering and applied research to deliver production-ready systems in rendering, computer vision, and computational imaging. He built a vectorized radiative transfer solver and integrated differentiable rendering with ML for satellite and scene reconstruction work at EPFL, contributions that fed into widely used projects like Mitsuba 3. His open-source tools—VERIV and MiTransient—have thousands of users and academic recognition (Best Poster ICCP 2024), showing an ability to package research into practical developer tools. Comfortable across LLVM/CUDA backends, PyTorch models, and C++ production code, he bridges low-level optimization and algorithmic innovation. Now based in Lausanne and working at Meta via Qualitest, he seeks industry roles that value rigorous research translated into scalable, user-focused software.
6 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng Biomedical/Medical Engineering, Master of Engineering - MEng Biomedical/Medical Engineering at Universidad de Zaragoza
Mitsuba 3: A Retargetable Forward and Inverse Renderer
Role in this project:
Back-end Developer
Contributions:26 commits, 4 pushes, 2 branches in 1 year 3 months
Contributions summary:Miguel primarily contributed to the Mitsuba 3 renderer, focusing on core rendering functionalities. Their commits involved correcting initialization issues within the medium sampling, addressing binding problems in Python, and implementing deep copy functionality for samplers. Furthermore, the user worked on supporting the traversal of media defined in the sensor, resolving issues with direct bounces, and adding support for cube shapes within the renderer.
This repository contains the source code of the paper Primary-Space Adaptive Control Variates using Piecewise-Polynomial Approximations by Miguel Crespo, Adrian Jarabo, and Adolfo Muñoz from ACM Transactions on Graphics.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.