
Harshwardhan Singh
@harshwardhansingh2
I build secure, high-performance systems software for networking and storage platforms.
What I'm looking for
At Citrix Systems, I build core NetScaler ADC capabilities in C, including MCP proxy observability with JSON-RPC extraction for AppFlow telemetry and real-time security analytics.
I've strengthened networking security through end-to-end vulnerability audits and patched 100+ critical defects across core modules. I also implemented EDNS0 enhancements in the NSLB engine and resolve complex load-balancing, DNS, and packet-processing issues using Wireshark, kernel tracing, and log analysis.
Previously at SanDisk, I led development of a host-less C++ simulation framework for NVMe devices, reducing regression testing time by 30% and advancing delivery by one month. I designed Flash Translation Layer modules and implemented TCG-based security for SDExpress self-encrypting devices.
My work spans firmware validation, fault injection, NAND and host-interface debugging, storage performance, and network protocols. I enjoy solving low-level reliability, security, and performance problems across systems software.
Experience
Work history, roles, and key accomplishments
Shipped MCP proxy observability in NetScaler ADC's C packet engine, extending AppFlow telemetry with JSON-RPC attribute extraction. Spearheaded security posture under Anthropic's Project Glasswing, patching 100+ critical security defects.
Led development of a host-less simulation framework in C++ for NVMe devices, reducing regression testing time by 30%. Designed and optimized core modules of the Flash Translation Layer and implemented security features for SDExpress card.
Developed a tool for Host Independent Performance Measurement System in SSD, supporting user-configured tests and automated data integrity checks.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani
Master of Engineering, Computer Science and Engineering
2020 - 2022
Grade: 8.54 CGPA
Pursued a Master of Engineering in Computer Science and Engineering, achieving a CGPA of 8.54.
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Engineering, Computer Science and Engineering
2016 - 2020
Grade: 7.22 CGPA
Completed a Bachelor of Engineering in Computer Science and Engineering, achieving a CGPA of 7.22.
Availability
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