High Performance Computing · Scientific Computing · AI
I build computational systems for engineering problems.
C++, CUDA, Python, scientific computing, CFD, GPU acceleration, performance engineering, and AI-assisted engineering workflows.
Selected Work
Engineering Projects
OpenFOAM Case Intelligence
Graph-based system for understanding, modifying, and generating OpenFOAM cases using LLM-driven workflows.
HPC Matrix Optimisation
Performance-focused redesign of sparse matrix workflows with better memory allocation and access patterns.
GPU Computing
GPU-accelerated computational workflows focused on CUDA kernels, profiling, and architecture-aware optimisation.
AI Communication Hub
Self-hosted communication platform using automation, PostgreSQL, and local LLMs to classify and summarize messages.
About
Engineering across software and simulation.
My work sits at the intersection of high-performance computing, scientific software, simulation, and AI-assisted engineering.
I am particularly interested in systems where understanding the underlying hardware, numerical methods, memory behaviour, and software architecture directly affects performance.