Career

High Performance Computing

My way into HPC began as plain curiosity: how do you actually program a GPU - the same kind of chip that runs every video game I grew up on? Pull on that thread far enough and it leads you to supercomputers, racks of the same silicon conscripted into work far weightier than rendering frames. Half a decade in, what still excites me most is the chase - hunting performance through layers of code and silicon, shaving microseconds off a hot loop, finding the one function that's quietly bottlenecking the entire pipeline. That's what brings me back to this work, Monday after Monday.

What I love is the layering of the work - chasing performance bottlenecks in the morning, keeping a cluster healthy and humming through lunch, redesigning a CI pipeline that touches thirty applications in the afternoon, reading about supercomputer architecture for class in the evening. The same instinct serves all of them: small, careful changes compounding into outsized outcomes. The machines keep getting bigger; learning to use them well, and helping others do the same, is what I plan to spend a career on.

What follows is the shape of that journey so far - the roles I've held, the work that's been recognized, the research, and the schooling that frames it all.

Work Experience

AMD

Current
Full-time
Aug 2021 – Present · 4 yrs 11 mos
Bangalore, IN

Sr. Software System Designer

Dec 2025 – Present · 7 mos

Recently promoted — highlights to follow.

Software System Designer 2

May 2023 – Nov 2025 · 2 yrs 7 mos
  • Owned end-to-end ZSS release deliverables for GROMACS, HMMER, and SPECMPI across versions 4.2 through 5.2 — Spack/Kaveri integration, performance triage, and external Spack documentation coordination.
  • Designed and implemented a Jenkins + Kaveri CI platform that automates 30+ HPC applications across 10+ toolchains and 80+ workloads, sharply reducing release-cycle effort. Spotlight Award, Q4 2024.
  • Led ZSS Operations for 5.0, 5.1, and 5.2 Release — owned execution, performance reporting, and onboarded two contractors to scale the function.
  • Closed a 4–5% GROMACS performance gap against Intel OneAPI through deep-dive root-cause analysis with the AOCC and Performance Analysis teams.
  • Led organization-wide Spack adoption — recipe development for HPC applications, enablement for MI300 validation, and upstreaming of internal recipes. Spotlight Award, Q2 2023.
  • Developed automation for Spack recipe changes, streamlining the upstream contribution workflow. Director Spotlight Award, Q1 2025.
  • Automated Dhruva1 cluster deployment using Ansible. Spotlight Award, Q3 2023.
  • Initiated an AMD ↔ EPCC (University of Edinburgh) collaboration, including a joint dissertation proposal expanding AMD's academic HPC footprint.

Software System Designer 1

Aug 2021 – Apr 2023 · 1 yr 9 mos
  • Analyzed and profiled the impact of AVX-512 extensions on GROMACS — informed AMD Zen Software Studio optimizations for 4th-generation EPYC processors.
  • Authored an automation tool for containerizing HPC applications, reducing deployment effort by over 70%. Spotlight Award, Q3 2022.
  • Constructed an HPC cluster from scratch and managed the team's software and hardware infrastructure.
  • Built a proof-of-concept to unify the organization's hardware infrastructure for CI/CD and performance validation using OpenStack.
  • Developed and maintained early Spack recipes for HPC applications, laying the groundwork for organization-wide adoption.

NVIDIA

Internship
Jan 2020 – Jul 2021 · 1 yr 7 mos
Bangalore, IN

HPC/AI Research Intern
  • Performance and scaling analysis of the DFT-FE codebase on a DGX A100 GPU cluster — observed a 2× improvement over the DGX V100 cluster.
  • Worked with the HPC team on porting and profiling the CFS codebase onto GPUs using OpenACC.
  • Researched and developed a model for Indian classical music generation using MuseGAN.
  • Developed and profiled several machine-learning algorithms on GPUs for the RAPIDS and SimNet codebases.

Awards & Recognition

  • Hackathons

    · AMD
    1 award · 2026
    • Winner, CSG AI Hackathon 2026 Feb 2026

      For "From Few Experts to Many: AI-Democratized Kaveri Expertise".

  • Spotlight Awards

    · AMD
    5 awards · 2022–2025
    • Director Spotlight Award, Q1 2025 Mar 2025

      Recognized for the development of Spack recipe change automation.

    • Spotlight Award, Q4 2024 Dec 2024

      Recognized for designing and implementing the Jenkins + Kaveri CI automation platform for the HPC team.

    • Spotlight Award, Q3 2023 Sep 2023

      Recognized for automating the deployment of the Dhruva1 cluster using Ansible.

    • Spotlight Award, Q2 2023 Jun 2023

      Recognized for Spack recipe support of HPC applications, enabling MI300 validation.

    • Spotlight Award, Q3 2022 Sep 2022

      Recognized for evangelizing HPC applications in Docker for benchmarking.

  • Director of Engineering Appreciation

    · NVIDIA
    Jul 2021

    Appreciated by the Director of Engineering for performance during the internship.

Research Publications

  • Access Control for Streaming Data Across Heterogeneous Communication Models

    May 2021

    International Conference on Artificial Intelligence for Internet of Things · Seattle, US

    A unified mechanism to insert access-control policies into data streams and enforce them across heterogeneous communication models.

  • Heterogeneous Parallel Critical Node Detection

    Oct 2020

    International Conference on Advanced Computer Science and Information Systems · Depok, ID

    A novel heterogeneous algorithm for the Critical Node Detection Problem (CNDP) using OpenCL that outperforms the earlier parallel implementation by 2× on real-world Twitter data.

Education

  • University of Edinburgh

    Sep 2023 – Sep 2026
    M.Sc. · High Performance Computing

  • PES University

    Aug 2017 – Aug 2021
    B.Tech. · Computer Science and Engineering