About Me I am a Computer Science Engineer and Data Science Master’s graduate, currently building the future of Arabic text digitization at Kalima OCR. My work focuses on bridging the gap between cutting-edge AI research and production-ready SaaS applications. I thrive at the intersection of AI and DevOps. Whether it's training and fine-tuning models in PyTorch, orchestrating high-throughput inference on NVIDIA Blackwell (GB10) hardware, or building responsive UIs with Next.js, I enjoy the full-stack challenge of turning complex research ideas into usable, sovereign data applications. What I’m working on now: Deploying large-scale Mixture-of-Experts (MoE) models on DGX infrastructure. Optimizing LLM inference pipelines (vLLM, LiteLLM) for low-latency production environments. Building developer-centric AI portals to make high-end models accessible to product teams. I share my journey here to help other engineers navigate the messy, high-pressure world of "DevOps-for-AI." Expect deep dives into hardware, model optimization, and the occasional battle with a broken CUDA kernel.