Gunjan Dayani is a Software Engineer III with the Spatial Informatics Group (SIG) in partnership with the Rocky Mountain Research Station’s (RMRS) Fire Modeling Institute (FMI). He brings over three years of experience building high-performance applications in high-performance computing (HPC), low-latency systems, and scalable full-stack platforms. 

During his tenure at the USDA Forest Service, Gunjan engineered multithreaded C++ fire simulation systems, optimizing raster data processing. He also led the development of a high-resolution wind field API using WindNinja-based preprocessing, delivering 120m terrain-aware wind data for real-time wildfire risk analysis. He built a bare-metal HPC cluster, provisioning networked compute nodes with OpenHPC and deploying Prometheus + Grafana for real-time observability. Gunjan has designed and implemented scalable RESTful APIs, enhancing backend efficiency and optimizing data pipelines. His work includes deploying containerized applications for seamless integration, reducing environment inconsistencies, and improving reliability through Docker and Kubernetes. He also optimized API performance using caching mechanisms and pagination strategies, resulting in faster response times and lower server load. 

Gunjan holds a Master of Science in Computer Engineering from New York University and is passionate about scalable software solutions for geospatial and environmental challenges.