about me
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
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
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
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
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.