Leonardo Lontra is a Machine Learning Engineer with 11 years of experience specializing in embedded devices, computer vision, and on-device ML deployments. Based in Rio de Janeiro, he combines hands-on embedded systems work with DevOps skills to optimize ML toolchains for resource-constrained hardware. His notable open-source contributions include configuring and patching TensorFlow and Bazel to enable cross-compilation and reliable builds for ARM boards, demonstrating deep practical knowledge of toolchain integration. Comfortable working at the intersection of firmware, build systems, and model engineering, he focuses on making state-of-the-art ML run efficiently on real-world devices. Trained in administration and human resources management, he brings structured project coordination and team-aware communication to technical projects. He often solves non-obvious deployment challenges—like custom cross-compilation quirks—so models move from prototype to production on embedded platforms.
Contributions:18 releases, 155 commits, 14 PRs in 3 years 5 months
Contributions summary:Leonardo's commits primarily focus on setting up and configuring the build environment for TensorFlow on ARM devices. Their work includes creating scripts for building TensorFlow, patching Bazel and TensorFlow to support ARM architecture, and configuring cross-compilation toolchains. The user demonstrates expertise in building and integrating TensorFlow with various ARM-based boards and optimizing the build process.
Contributions:67 commits, 65 pushes, 1 branch in 3 years 11 months
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.
Request Free Trial
Leonardo Lontra - Machine Learning Engineer at dlsys-analytics