I am a High-Performance Computing (HPC) Engineer with over four years of experience specializing in AI and Radar Signal Processing. My expertise lies in developing and optimizing algorithms for parallel computing, GPU acceleration, and real-time data processing. I have a strong background in CUDA programming, C/C++, and scientific computing, enabling me to build highly efficient software solutions for computationally intensive applications.

My work involves leveraging GPU architectures to enhance performance in AI-driven applications, radar data analysis, and large-scale simulations. I am passionate about low-latency computing, numerical optimization, and real-time signal processing. Over the years, I have worked on cutting-edge projects that involve processing large datasets, implementing advanced filtering techniques, and developing AI-powered models for predictive analysis.

Beyond my professional work, I am dedicated to teaching and sharing knowledge. I create educational content on CUDA programming, parallel computing, and HPC techniques, helping developers and researchers accelerate their applications. With a deep understanding of high-performance systems, I aim to bridge the gap between theory and practical implementation in computational sciences.