Open to engineering opportunities

I am best suited for backend/platform roles where I can combine systems design, production troubleshooting, and performance tuning.

Profile

I am an engineer at Salesforce. I enjoy problem-solving, programming, and exploring systems in depth.

Most of my work sits at the intersection of distributed systems and performance engineering: debugging production issues, analyzing runtime behavior, and building practical tooling.

Interests

  • Deep Learning (just started)
  • Distributed Systems
  • Operating system (Linux)
  • Programming Languages
  • Datastructures and Algorithms
  • Cybersecurity (I enjoy doing CTF challenges)

Featured Projects

For the complete list, see full work.

CAR

Tech: Vue, Java, JavaScript, HTML, Docker

Distributed log processing and visualization platform. A production fork is used by roughly 1K internal users.

  • Customizable analysis dashboards for troubleshooting.
  • Regex-chain based parsing optimized with re2j.
  • Event pipeline to gather and correlate logs from distributed services.

SDFS

Tech: Java, JavaScript, HTML, CSS, Docker

Lightweight distributed filesystem and orchestration layer designed with simple APIs and easy deployment in mind.

  • Used on ~70 KVM-based nodes for cooperative resource sharing.
  • Prioritized practical deployability over full fault-tolerance complexity.

Probes

Tech: Java, HTML, JavaScript, CSS, Shell

Low-code scripting environment for support engineers to build debugging and collection workflows without writing full programs.

  • Program flow is composed from UI blocks.
  • Improved turnaround for creating internal diagnostics tooling.

ladybug

Tech: JavaScript, HTML, CSS, browser APIs, internal REST APIs

Internal browser extension to collect diagnostic context in a few clicks and speed up production troubleshooting workflows.

  • Used across product teams with over 2M API calls per month.
  • Adopted by roughly 1K users for faster issue triage and support handoffs.