James Crovo is a DevOps Engineer with a decade of hands-on experience building and operating high-performance infrastructure, currently focused on AI clusters and deploying NVIDIA GB200/GB300 NVL72 systems at Global AI. He combines a Summa Cum Laude CS foundation from RPI with production engineering experience across Epic and Aegis, shipping services in Python, Java, C#, C++, TypeScript, SQL, and React. James excels at the intersection of networking, automation, observability, and platform reliability, with a practical emphasis on making large-scale GPU fleets secure, fast, and maintainable. He’s shipped widely used side projects and production software, demonstrating both full-stack fluency and systems-level rigor. Based in Greater Philadelphia, he brings a rare mix of performance-first mindset and product sensibility that helps bridge research-grade AI hardware to dependable operational platforms. Fun fact: beyond formal roles he likes to “make doodads,” signalling a tinkerer’s curiosity that drives pragmatic innovation.
10 years of coding experience
6 years of employment as a software developer
Computer Science, Computer Science at Georgia Institute of Technology
Full Stack Web Development Certification Computer Software Engineering, Full Stack Web Development Certification Computer Software Engineering at freeCodeCamp
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Rensselaer Polytechnic Institute
Contributions:10 commits, 7 pushes, 2 branches in 1 year 2 months
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