Summary
Anil Rajput is an AMD Fellow and cloud performance architect with over two decades of experience designing and optimizing datacenter platforms, now focused on accelerating EPYC-based cloud and on-prem solutions. He blends deep systems expertise—benchmarks, telemetry, runtimes (Java, .NET, Node.js, Python) and workload characterization—with data-driven decision making to drive customer outcomes and industry-wide best practices. A prolific contributor to standards and benchmarking (SPEC chair for SPECjbb2015, JCP EC, Node.js) he has a track record of inventing first-in-industry methodologies and influencing platform adoption at large cloud providers. He’s led multi-geo engineering teams, managed cross-functional workgroups, and closed deals by resolving complex deployment issues through targeted PoCs. Notably, he pairs hands-on runtime and benchmark engineering with strategic insight from a Harvard business analytics program, and is now exploring the role of accelerators for AI/ML in hyperscale datacenters.
9 years of coding experience
23 years of employment as a software developer
Harvard Business Analytics Program, Business Analytics, Strategy, and Operations, Harvard Business Analytics Program, Business Analytics, Strategy, and Operations at Harvard University
MS in Electrical and Computer Engineering, Computer Architecture, MS in Electrical and Computer Engineering, Computer Architecture at Portland State University
Bachelor of Technology (B.Tech.), Electrical Engineering, Bachelor of Technology (B.Tech.), Electrical Engineering at College of Technology, GB Pant University, Pantnagar
java, c / c++, fortran