Security Researcher and Scientific Developer at LRGE Systems. Specialized in turning scientific complexity into competitive advantage, he works on efficient AI architectures, offensive security, digital forensics, and high-performance algorithms. Among his technical contributions is the development of proprietary ontological layers that enable lightweight language models (1.5B parameters) to achieve semantic quality comparable to large-scale models (20B+), with significant reduction in inference costs. Proficient in Rust, C/C++, Python, and Java, with a focus on critical systems and low-level computing. Profile oriented toward backend, frontend, and artificial intelligence.