About Me

I’m Tadhg Papillaud Looram, an AI builder and technical leader focused on making machine learning systems more useful, measurable, and reliable in the real world.

I’m currently the Chief AI Officer at Portex, where I lead AI roadmap and strategy with a focus on evaluation systems, observability, and agentic workflows. My work centers on turning frontier model capability into dependable product performance.

Prior to cofounding Portex, I completed graduate work in machine learning at Harvard, including research on natural language understanding applied to bytecode analysis. Across my work, I’ve been drawn to systems that sit between research and production: the place where ideas either become robust products or break under real-world constraints.

Earlier in my career, I spent five years in the Markets Group at the Federal Reserve Bank of New York, where I progressed through multiple roles supporting risk, operations, and policy work tied to foreign central bank services. I built data-driven tools for portfolio monitoring, transaction surveillance, and payment risk analysis, and developed machine learning approaches for anomaly detection, AML workflows, sanctions screening, and beneficiary identification.

Technical Interests

• AI agents and orchestration

• LLM evaluation and benchmarking

• Retrieval and dataset pipelines

• Applied machine learning systems

• Observability and performance measurement

• Product-focused AI research

CV available upon request. Please contact me at tadhg + . + looram + @ + gmail.com