I'm a PhD candidate in Electrical Engineering at Texas A&M University, specializing in RF integrated circuit design and silicon photonics. My research focuses on developing intelligent control systems for next-generation communication and sensing platforms.
My approach bridges analog circuit design, photonic system architecture, and machine learning—creating adaptive hardware that optimizes itself in real-time. From chip tape-outs to system-level innovation, I work at the intersection where electronics meets photonics and intelligence.
I've contributed to cutting-edge technology development at leading organizations including Meta Reality Labs, Qualcomm, and Fraunhofer Institute. My work spans AR/VR photonic systems, millimeter-wave transceivers, and ultra-low-power RF architectures.
At Meta Reality Labs, I developed laser and MEMS driver ICs with automatic stabilization loops for photonic display systems. At Qualcomm and Fraunhofer, I designed high-speed optical receivers and energy-efficient RF transmitters that push the boundaries of performance and power efficiency.
CMOS circuit design for mm-wave and high-speed applications, IC tape-outs, and system integration
Photonic receiver front-ends, optical modulators, and hybrid electronic-photonic systems
Machine learning algorithms for automatic tuning and stabilization of analog hardware systems
Inventor on multiple patents in laser drivers, MEMS drivers, and automatic stabilization systems for photonic and AR/VR applications.