I am a software engineer and founder specializing in high-performance AI architectures and forensic-grade operating systems for competitive sports. As the architect of MyAthlete, I focus on translating complex domain expertise into scalable, production-ready software for national-level sports organizations.

My work sits at the intersection of full-stack development and the optimization of machine learning workloads. My core competencies include:

• Scalable Full-Stack Solutions: I architect and deploy robust, multi-tenant SaaS environments that convert high-level conceptual frameworks—such as Physiological Load Modeling—into performant, production-ready code.

• Inference Optimization: I specialize in scaling local AI architectures using NVIDIA Triton Inference Server and vLLM to maximize throughput and utility from smaller, quantized models.

• Advanced RAG Architectures: I design and implement multimodal, multi-step, and deep-research RAG pipelines to solve high-stakes data retrieval and reasoning challenges.

Currently a Computer Science student at University College Cork (UCC), I focus on the practical application of emerging AI research. I am committed to building privacy-conscious, local-first AI solutions that bridge the gap between high-stakes data intelligence and rigorous, scalable systems engineering.