CV

Professional Summary

AI Research Intern at Emory Global Diabetes Research Center, Atlanta. Working on monitoring ML models using Language Agents.
PhD candidate in AI at UPC BarcelonaTech focusing on developing a Cognitive Architecture for AI Agents.
Strong background in solving complex problems using cutting-edge AI techniques and Linux at scale.

AI Engineer Intern, Emory Global Diabetes Research Center, USA (2023-Present): Developing a cognitive architecture for continual learning in healthcare, improving model robustness across diverse fundus images domains. Results: 2 papers and 1 open source library.
AI Research Engineer, Barcelona Supercomputing Center, Spain (2019-2014): Led the design and implementation of AI systems for domain adaptation for Lenovo production environments. Results: Lenovo $200k in funding, 2 libraries and several papers.
Data Scientist, Inter-American Development Bank, Peru (2017-2018): Applied ML techniques to detect tax evasion, increasing revenue by $10M. Implemented data pipelines using Python and Spark, processing over 1TB of financial data monthly.

PhD candidate in Artificial Intelligence, UPC BarcelonaTech, Spain (Expected 2024)
MSc in Artificial Intelligence, UPC BarcelonaTech, Spain (2021)
BSc in Computer Science, Magna Cum Laude, National University of Engineering, Peru (2016)

Multiple publications in top-tier journals and conferences focusing on AI applications in real-world scenarios. Check my Google scholar.
Several scholarships and awards, recently, the Intel-Lenovo AI Innovators Award (Python project: Dual-behaviour Agents).

Core contributor of Scanflow, a ML workflow debugger for rule-based/learnt behaviour using a Learning-Symbolic Multi agent system approach.
Developed and maintained several packages for ML, MLOps, Numerical analysis and deployment.