Ph.D. candidate in Computer Engineering focused on complex software systems, high-performance C++ applications, real-time processing, and system integration in production-grade environments, with applications of AI to medical imaging and biomedical signal analysis.
- C++ software engineering (Qt, VTK)
- High-performance and real-time systems
- Medical imaging and visualization
- AI for healthcare (signal processing, computer vision)
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ViT-for-Brain-Cancer
Vision Transformer applied to the SLIM Brain dataset for brain tumor detection. -
HSS-on-RiscV
CNN-based heart sound segmentation on heterogeneous platforms, including RISC-V (AIRISC architecture). -
AWSS
Cloud-based application for computing longest common substrings in DNA sequences.



