I specialise in artificial intelligence infrastructure on distributed systems at Nvidia, where I focus on building services for large-scale Deep learning applications for model training. With a decade of experience across three distinguished companies—Cisco, Nutanix, and Nvidia—I bring a wealth of expertise. I hold two granted patents and have two pending patents to my name. Additionally, I contributed to Kubernetes, the leading platform in distributed systems, as an open-source contributor. My educational background includes dual master's degrees—one in Electronics and Communication from IIT Roorkee and another in Computer Science from Stony brook University. Currently, I am furthering my education with graduate professional courses in AI from Stanford University. I believe that the breadth of my experiences in AI infra, networking, and compute, coupled with the depth of my expertise in each domain allow me to wear many hats as required by organisational and business needs.Key Strengths: Distributed systems, Operating systems generalist, API design, Kubernetes, Docker containers, EnvoyLanguages : Golang, Python, C/C++, bashPatents: 1) https://patents.google.com/patent/US20190235900A12) https://patents.google.com/patent/US20200150950A1/en3) https://patents.google.com/patent/US20200045116A1
Listed skills include C++, Algorithms, C, Linux, and 29 others.
