The current stage of AI is quite good from human point of view, but still far from strong enough: It requires efficient and powerful infrastructure to support its brain(LLM) | It requires a more clear understanding what the physical world is | It needs good foundation to manage all the components. That's why My research expertise focuses on GPU programming, Machine Learning System, AI robotics system, and Operating System, supported by a strong foundation in artificial intelligence (AI) and cognitive science. I am dedicated to advancing intelligent systems through rigorous scientific investigation. I have advanced proficiency in C++ and Python, leveraging libraries such as PyTorch, NumPy, and Pandas for data analysis and machine learning, alongside expertise in CUDA and ROCm/CANN for GPU/NPU-accelerated heterogeneous processing.
My technical contributions encompass the development of advanced LLM/ML application and the optimization of high-performance parallel algorithms in robotics systems. Notable projects include implementing a context-aware generative pretrained transformer (GPT) model using RAG framework LangChain and FastAPI, as well as designing a Pre-LayerNorm transformer architecture in Apple MLX inspired by the seminal work "Attention is All You Need." I have also contributed to autonomous data management and perception systems for the Edinburgh Formula Student (EUFS) initiative, utilizing my skills in ROS2 and Linux to enhance real-time robust systems in perception pipeline and parallel processing frameworks - eufs_pcl_parallel.
Outside of my technical pursuits, I stay active with regular gym sessions, running, and playing tennis and badminton. In my downtime, I enjoy reading books on productivity, psychology, and science fiction to inspire new ideas and refresh my perspective to the world. Additionally, my steam account is CyberAlbertCamus