• Engineering high-scale data retrieval systems and foundational infrastructure to power platform-wide intelligence

• Built and optimized networking IP tooling with IPv6 support, reducing packet generation time by 50%

• Developed chip-level emulation and verification infrastructure using C/C++, Perl, and Verilog

• Contributed to ASIC/SoC RTL design, including area estimation, FSM-based scheduling, and synthesis/linting with Synopsys tools

• Designed and optimized backend systems to improve performance and throughput in production environments

• Refactored legacy codebases, eliminating 800+ lines of redundancy and improving maintainability and build times

• Optimized C++ embedded systems for medical imaging, improving runtime efficiency by 50% and system performance by 63%

• Improved imaging accuracy by reducing variance from ~13% to ~4% through system-level enhancements

• Debugged and fixed RTOS scheduler issues, enabling stable multithreaded operation in production devices

• Built Django-based backend systems to analyze and visualize millions of data records, reducing file search time by 53%