Summary
Sirshak Das is a software engineer with a decade of experience building high-performance networking and cloud infrastructure, currently working on AI workload communication efficiency at NVIDIA. He previously engineered data-path and SDN solutions for Azure at Microsoft and contributed to open-source user-space networking projects like VPP and OpenFastPath while at Arm. His background ranges from low-level driver and NX-OS work at Cisco to large-scale provisioning systems at Verizon, demonstrating deep expertise in DPDK, VPP, OFP, and AArch64 platforms. Known for tackling bottlenecks in network data paths and optimizing throughput, he blends systems-level coding with practical research experience from Indiana University. Based in California, he is selective about referrals and prefers working through trusted connections, reflecting a thoughtful and network-conscious approach to collaboration.
10 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Indiana University Bloomington
Bachelor of Engineering, Computer Science Engineering, Bachelor of Engineering, Computer Science Engineering at Birla Institute of Technology, Mesra
High School, ICSE, High School, ICSE at Stewart School Cuttack
High School, CBSE, High School, CBSE at D.A.V Public School Cuttack
English, Hindi, Odia, Bengali