Hamza Bashir is an elite deep-tech engineering leader, founder, and advanced systems architect with over 15 years of pioneering experience operating at the intersection of AI platforms, GPU-accelerated computing, and wireless physical layer (PHY) communications. Currently serving as the AI/ML Applications Lead at 10xEngineers, he spearheads the optimization of complex Vision and Text large language models (LLMs) for next-generation RISC-V platforms. Hamza's distinguished technical trajectory includes founding NVDEE—a specialized high-performance computing (HPC) and agentic RAG pipeline consultancy—and driving cutting-edge LLM and GPU optimization initiatives in Palo Alto for Turing, where he engineered low-level CUDA kernels equivalent to NVIDIA's cuDNN and CUB libraries. Prior to his work in generative AI hardware, he spent over 11 years at global chipmaker u-blox, rising to Senior Staff Engineer while directing international engineering engines to deploy 3GPP standards (LTE, NB-IoT, 5G New Radio, and Satellite/Non-Terrestrial Networks). A published Udemy instructor in CUDA and HPC engineering, Hamza specializes in translating dense mathematical, signal processing, and real-time algorithmic frameworks into highly parallelized, production-grade hardware and software architectures.