Michael Hodara is a data-driven founder and machine learning engineer with 11 years of experience building AI-powered products and infrastructure across startups and enterprise teams. Based in the San Francisco Bay Area, he co-founded Kuli to turn influencer marketing from guesswork into science by analyzing 250,000+ videos to detect brand-safety risks and performance-driving content patterns, cutting review time by 95% for clients. His background blends product and go-to-market analytics at Aircall with teaching Python and ML, and deep technical contributions to open-source scientific projects like deal.II and Psi4 where he improved core data structures and implemented excited-state methods. He also brings build/release and packaging expertise from work on Spack and Yggdrasil, enabling reproducible builds across platforms including Windows and CUDA. Comfortable at the intersection of research-grade code and commercial productization, he pairs rigorous engineering (EPFL MS in Robotics & AI) with hands-on startup execution. An uncommon detail: he applies numerical robustness lessons from finite-element and quantum chemistry projects to make ML systems more reliable in production.
11 years of coding experience
5 years of employment as a software developer
Baccalauréat Scientifique, Baccalauréat Scientifique at Lycée Janson de Sailly
Master of Science - MS Robotics and Artificial Intelligence, Master of Science - MS Robotics and Artificial Intelligence at EPFL
Collection of builder repositories for BinaryBuilder.jl
Role in this project:
Back-end Developer & Build Engineer
Contributions:22 reviews, 21 commits, 28 PRs in 2 years 10 months
Contributions summary:Michael primarily contributed to building and maintaining binary packages within the BinaryBuilder.jl framework, focusing on the `Libxc` library. Their work involved updating the Libxc versions, modifying build scripts to support Windows and CUDA, enabling Fortran interfaces, and integrating with QuantumEspresso. They also addressed build-related issues and optimized the build process for various platforms.
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
Role in this project:
Back-end Developer
Contributions:8 reviews, 40 commits, 12 PRs in 3 years 1 month
Contributions summary:Michael primarily contributed to the development and maintenance of the Psi4 quantum chemistry software package. Their commits focused on refactoring code, renaming functions, and adding new functionalities, specifically related to ADC (Algebraic-Diagrammatic Construction) methods for excited state calculations. They integrated the `adcc` Python package, added an `ADC(2)` function, and made modifications to documentation and various modules related to ADC methods, demonstrating a strong focus on expanding and refining the software's capabilities in the area of electronic structure calculations. They also added velocity gauge calculations.
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