Summary
Diego Ardila is a PhD candidate in Computational Intelligence and an electronic engineer with 11 years of experience designing embedded signal acquisition systems and developing applied AI solutions. He has spent over four years as an AI researcher building NLP and supervised-learning pipelines (BERT, CatBoost, XGBoost) for industrial and judicial applications, including a large-scale NLP-driven database integration of 500k+ documents. As a postgraduate researcher at LIRA‑PUC‑Rio he combines academic rigor with industry collaboration, currently enhancing a court-assist platform using BERT and Llama 3 and production-ready tooling like ZenML under Agile processes. He also brings five-plus years of undergraduate and graduate teaching in data science, embedded systems, and microcontrollers, bridging theory and hands-on implementation. Notably, his background in analog/digital signal conditioning and portable physiological data capture gives him a rare cross-domain fluency between hardware signal chains and modern ML stacks.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Universidade Federal de Santa Catarina
Pontifical Catholic University of Rio de Janeiro
Ingeniería, Electrical and Electronics Engineering, Ingeniería, Electrical and Electronics Engineering at Universidad Pontificia Bolivariana
Spanish, Portuguese, English