High-Performance Computing · AI Systems · Parallel Programming · GPU Computing · Scientific Computing
Exploring how software, hardware and intelligent systems can be pushed closer to their performance limits.
I am an MSc student in Advanced Computing at the University of Minho, focused on the design, implementation and optimisation of computational systems that run close to the hardware.
My main interests are centred around High-Performance Computing, AI systems, parallel programming, GPU acceleration, scientific computing and performance engineering.
I enjoy understanding not only whether a system works, but also:
- why it performs the way it does;
- how memory, parallelism and architecture affect execution;
- where bottlenecks emerge;
- how algorithms can be redesigned for modern hardware;
- how AI workloads can be accelerated, benchmarked and deployed efficiently.
My long-term interest is in the intersection between HPC and Artificial Intelligence, especially in systems where large-scale computation, data movement and hardware-aware optimisation are critical.
Academic projects developed during my Bachelor's and Master's degrees, mainly focused on HPC, AI systems, distributed computing, scientific computing, databases and graphics.
| Project | Description | Technologies | Grade |
|---|---|---|---|
| Matrix Multiply Optimized | Performance-oriented matrix multiplication implementation, focused on optimisation, computational efficiency and hardware-aware execution. | C, HPC, Optimisation, Performance Analysis | 18.3/20 |
| ZPIC CUDA + MPI | Parallelisation and optimisation of ZPIC using CUDA and MPI, exploring distributed and GPU-accelerated execution. | CUDA, MPI, HPC, Parallel Computing | 18/20 |
| LLM Inference on CPU | Study on LLM Inference on CPU's and LLM engines optimization, like TurboQuant in llama.cpp | Python, C++, Bash, LLM Inference | 20/20 |
| Project | Description | Technologies | Grade |
|---|---|---|---|
| Models Benchmark for Audio Storage in Vectorial Databases - Milvus | Benchmarking AI models for audio representation and storage in vector databases, with focus on embeddings, similarity search and model evaluation. | Python, Milvus, AI, Machine Learning, Vector Databases | 17/20 |
| Project | Description | Technologies | Grade |
|---|---|---|---|
| CG Project | Computer graphics project involving rendering, scene construction and interactive visual components. | C/C++, OpenGL, Computer Graphics | 18/20 |
| Projeto BD | Database systems project covering data modelling, querying and application-level database logic. | SQL, Databases, Data Modelling | 17/20 |
HPC + AI + Systems
I am currently exploring:
- hardware-aware optimisation for modern CPU and GPU architectures;
- CUDA programming and GPU acceleration;
- parallel algorithms and scalability analysis;
- NUMA effects and memory hierarchy behaviour;
- scientific simulation and numerical kernels;
- distributed computing and runtime performance;
- AI model benchmarking;
- vector databases and semantic search;
- AI-assisted performance analysis;
- efficient data pipelines for intelligent systems;
- the role of HPC infrastructure in modern AI workloads.
Building faster and smarter systems by understanding the machine beneath the software.