4.0/4.0
MS GPA
Computer Engineering Graduate Student
I build reliable systems across hardware and software, from real-time scheduling and IoT communication stacks to network-aware optimization in modern wireless systems.
4.0/4.0
MS GPA
8+
Major Projects
7+
Certifications
2
Top Honors
About
I am a graduate student in Computer Engineering at Virginia Tech, with strong foundations in embedded systems, network protocols, and secure infrastructure. My work blends system-level rigor with implementation focus, whether building IoT communication pipelines, optimizing real-time schedulers, or evaluating next-generation wireless architectures.
I enjoy translating complex technical requirements into dependable solutions and collaborating across teams where disciplined engineering and clarity matter.
Experience
Supporting Physical Electronics, Continuous and Discrete Systems, and Semiconductor Devices through grading, academic mentoring, and technical guidance.
Automated web and mobile application testing using Fireflink and Selenium, reducing manual effort and improving bug detection efficiency.
Built backend modules and responsive web pages with Java, HTML, and CSS while improving runtime performance through algorithmic optimization.
Education
GPA: 4.0/4.0
Coursework includes Network Architecture, 5G/O-RAN/6G Systems, Real-Time Systems, Compiler Optimizations, IoT Systems, and Computer Architecture.
GPA: 9.87/10.0
Projects
Developed an IoT stack combining Wi-Fi, BLE, HTTPS, and NTP for weather retrieval, RTC synchronization, and sensor display with robust error handling.
Implemented a FlexRIC xApp that adjusts PRB allocation from CQI-based measurements to improve network efficiency in simulated scenarios.
Implemented RM, DM, and EDF schedulers in FreeRTOS and evaluated utilization and deadline behavior on embedded targets.
Optimized BOOM parameters including cache and branch prediction for workloads such as ML, encryption, and graph traversal.
Built an optimization pass to reduce redundant computation through advanced dataflow analysis and strategic expression placement.
Created an OpenCV-based ALPR pipeline with approximately 95% vehicle identification accuracy for security applications.