A PhD in Electrical and Computer Engineering (New Jersey Institute of Technology, NJIT, 2018) with an MSc (Louisiana State University, 2014) and dual BSc in Electrical Engineering & Mathematics (Louisiana Tech University, 2012, with honors). Currently works as a Fusion Algorithm Engineer at Aptiv (2018–present), leading L3/L4 radar-lidar-camera fusion tracker development for BMW projects, designing mm-level positioning modules (fusing RTK GNSS/IMU), and developing 3D LiDAR segmentation for object detection.
Has expertise in radar signal processing, sensor fusion, and AI/ML—e.g., human behavior detection via CNN (micro-Doppler), radar interference mitigation with SVM, and CUDA-based signal processing. Previously researched distributed MIMO radar at NJIT (2014–2018) and led LiDAR facial recognition algorithms as an intern. An IEEE Senior Member (2019–present) with 10+ publications, holds fellowships (Ross, Hashimoto) and engineering honors. Proficient in C/C++, Python, FPGA (Verilog), MATLAB, and TensorFlow.