Václav Krpec is a pragmatic software engineer with 12+ years of experience building high-performance networking, embedded and cloud-native systems using C/C++, Python and Perl on UNIX/Linux. He has led a small ML/NLP platform team at MSD, designing microservice architectures and CV/AI prototypes, and now focuses on cloud infrastructure automation for efficient LLM inference on Azure and GCP using Terraform CDK. Deep expertise in multithreading, IPC and efficient data structures complements hands-on experience with distributed computing, Docker, MQs and low-latency systems. An active FOSS contributor, he has improved core functionality in notable projects like OpenMRS and maintains a GitHub presence that reflects practical, performance-minded solutions. Based in Prague, he combines systems-level engineering with a taste for applied ML, often bridging prototype hardware/software work (ARM/embedded) with production cloud deployments.
11 years of coding experience
21 years of employment as a software developer
Master's degree, Informatics, Master's degree, Informatics at Masaryk University Brno
Contributions summary:Václav focused on improving the OpenMRS core API, specifically related to the retrieval of observations. They overloaded methods to support filtering by accession number, enhancing data retrieval capabilities. Furthermore, the user addressed a bug in the web image handler, ensuring proper locale handling for image display and text formatting. These changes demonstrate a focus on improving the core functionality and usability of the OpenMRS platform.
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