John Gergely is a versatile technologist and co-founder with 18 years of experience applying computational science, high-performance computing, and pragmatic data engineering to mission-critical public sector problems. He combines deep technical chops from a PhD in physics and open-source contributions to QMCPACK with hands-on product delivery—building prototypes, ETL pipelines, and enterprise case management systems under extreme time and resource constraints. As a principal, he repeatedly fills capacity gaps, leading rapid SDLCs, schema-breaking migrations, and data governance efforts that kept services running for tens of thousands of users. He excels at building cross-functional trust without formal authority, translating complex technical details into strategic decisions for executives and front-line teams. Based in New York, he focuses on re-engineering legacy public systems and pragmatic analytics (Python, SQL, C/C++, GIS, Linux) to drive measurable operational wins. An uncommon blend of quantum simulation background and practical city-scale program delivery gives him a knack for solving problems others deem "too hard."
18 years of coding experience
13 years of employment as a software developer
Bachelor of Arts (BA), Physics, Bachelor of Arts (BA), Physics at University of Vermont
Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support
Role in this project:
Back-end Developer
Contributions:6 commits in 1 year 1 month
Contributions summary:John primarily focused on modifying and extending the QMCPACK codebase, particularly within the realm of quantum Monte Carlo simulations. Their contributions involved implementing and refining functionalities, as evidenced by changes in Hamiltonian and wave function files. The user's work includes adding force estimators and adjusting aspects of the calculation process.
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