Anil Rajput
AMD Fellow, Software System Design Eng. And Cloud Performance Architect at Standard Performance Evaluation Corporation
Portland, Oregon Metropolitan Area United States
Summary
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Senior🎓
Top SchoolAnil 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 UniversityMS in Electrical and Computer Engineering, Computer Architecture, MS in Electrical and Computer Engineering, Computer Architecture at Portland State UniversityBachelor 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
Stackoverflow
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Github Skills (4)
nodejs8
data-center7
benchmark2
benchmarking1
Programming languages (2)
Github contributions (2)
Node-DC/Node-DC-EIS
Nov 2016 - Nov 2016
Node-DC-EIS (Node.js - Data Center - Employee Information Services) is the first in a series of upcoming workloads for modelling major use cases for Node.js in Data Center (Node-DC).
Contributions:42 commits, 40 pushes in 6 days
casescenteruse-casesworkloadsnode-js
nodejs/benchmarking
Jun 2017 - Jun 2017
Node.js Benchmarking Working Group
Contributions:1 comment in 1 day
benchmarkingnode-jsbenchmarknodejsworking-group
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