Manprit 5-Year IDD Mathematics and Computing

I’m a Software Development Engineer focused on developing, debugging, and troubleshooting large, mature C/C++ codebases on Linux in high-stakes production environments. I bring strong analytical coding and root-cause skills, and I’m motivated by shipping defect fixes, hot-patches, and reliability improvements with rapid turnaround.

At Pacefin, I diagnose complex production issues using GDB and perf, then complete in-depth root cause analysis on subtle data problems. I’ve shipped reliability-focused changes like a Circuit Breaker predictor for stream-level error detection and recovery-state signaling, and I built marketDataEliminator to dynamically load only the data streams matching the active workload—along with runtime admin-command troubleshooting and logging.

I also strengthen critical systems by hardening liquidation paths and fixing metadata propagation through recovery handlers. Beyond troubleshooting, I design performance and scalability tooling—profiling packet timing for production feeds, building multithreaded streaming components, and implementing real-time simulation pipelines with TCP/UDP multicast parity. I rely on AI-assisted development (Claude Code, Cursor, GitHub Copilot) daily to accelerate diagnostics and integrate improvements into refactors and feature work.

I’m an IIT (BHU) graduate with a CS foundation spanning Data Structures, Algorithms, Operating Systems, and Computer Networks. I enjoy high-pressure problem solving—consistently performing as a Codeforces Expert, LeetCode Knight, and CodeChef 4-star—because it matches how I work: observe precisely, reason deeply, and deliver production-ready outcomes.