Gustavo Leite is a compiler engineer and PhD candidate in computer science based in São Paulo with 10 years of hands-on experience building high-performance and parallel programming systems. He blends production compiler development at Celera Technologies with academic research at Unicamp’s Laboratório de Sistemas de Computação, focusing on LLVM-based toolchains, GPU programming (CUDA, OpenCL), and distributed parallelism (OpenMP, MPI). Proficient in C/C++ and Python, he also applies machine learning frameworks like TensorFlow and JAX to optimize execution and code generation for ML workloads. Gustavo’s profile reflects a rare pairing of applied industry engineering and rigorous research, including a research stint at the University of Alberta, which informs his pragmatic yet experimentally driven approach to compiler design. He is particularly skilled at bridging low-level performance engineering with higher-level ML system needs, making him effective at turning novel compiler ideas into production-ready optimizations.
10 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade Estadual de Campinas
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:59 pushes, 8 branches in 2 months
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Gustavo Leite - Compiler Engineer at Celera Technologies