Muhammad Taaha Hashmi

PROFESSIONAL PROFILE Electrical Engineering student at SEECS, NUST. I possess a deep-rooted interest in the synergy between robust hardware design and automated intelligence. Through my involvement in the Xcelerium, I have gained valuable exposure to industry-standard methodologies, refining my ability to transition theoretical concepts into scalable, real-world engineering solutions. My background focuses on developing high-fidelity systems that bridge the gap between physical components and digital decision-making. I am a detail-oriented problem solver with a proven ability to navigate the complexities of system integration, from low-level circuit design to high-level algorithm implementation. I excel in collaborative, multidisciplinary environments where technical precision and creative thinking are required to solve complex challenges. With a commitment to continuous learning and technical excellence, I am prepared to contribute to innovative teams focused on advancing the next generation of autonomous and intelligent systems. EDUCATION Bahelors in Electrical Engineering SEECS , Islamabad , 3.27 (2022) INTERNSHIP EXPERIENCE Xcelerium 03-Nov-2025 - 02-Feb-2026 During my time in the Xcelerium (XCLR) early hire program, I gained hands-on experience in high-performance processor verification, specifically focusing on the CVA6 RISC-V architecture. I worked extensively within the Cadence Xcelium environment, where I managed complex simulation infrastructures, resolved RTL compilation dependencies, and verified critical processor components such as the Memory Management Unit (MMU) and Floating Point Unit (FPU). Beyond technical debugging and verification, I contributed to the team’s efficiency by developing a comprehensive beginner’s guide for the Cadence Xcelium toolset. This role allowed me to bridge the gap between academic hardware design and industry-standard verification methodologies, sharpening my ability to ensure system-level reliability in complex digital designs. TUIL Lab at RIMMS 21-Jul-2025 - 21-Sep-2025 During my summer internship, I led the initial development of a contactless health monitoring system using mm-Wave radar technology. I was responsible for the entire project lifecycle during this phase, from conducting research and defining the technical methodology to configuring the TI AWR6843AOP hardware for high-precision sensing. I successfully designed and implemented a digital signal processing pipeline that extracts heart and breathing rates from raw radar data by filtering out noise and isolating subtle body movements. By the end of the internship, I had established a fully operational test environment and validated the system’s accuracy against medical-grade sensors, proving the feasibility of wireless vital sign tracking. FINAL YEAR PROJECT Vital Signs Monitoring using mm-wave Radar Technology This project uses advanced radar technology to monitor a person’s heart rate and breathing without any physical contact. By using a specialized mm-wave sensor, the system can detect tiny movements in the chest from a distance and convert that data into vital sign readings. The goal is to create a comfortable, wireless way to track health, making it especially useful for hospitals or home care where traditional wearable sensors might be inconvenient. TECHNICAL EXPERTISE

Electrical Engineering student at SEECS, NUST. I possess a deep-rooted interest in the synergy between robust hardware design and automated intelligence. Through my involvement in the Xcelerium, I have gained valuable exposure to industry-standard methodologies, refining my ability to transition theoretical concepts into scalable, real-world engineering solutions. My background focuses on developing high-fidelity systems that bridge the gap between physical components and digital decision-making. I am a detail-oriented problem solver with a proven ability to navigate the complexities of system integration, from low-level circuit design to high-level algorithm implementation. I excel in collaborative, multidisciplinary environments where technical precision and creative thinking are required to solve complex challenges. With a commitment to continuous learning and technical excellence, I am prepared to contribute to innovative teams focused on advancing the next generation of autonomous and intelligent systems.