PhD, Computer Science
Working under Dr. Aude Oliva, researching topics in computer vision, perception and cognition.
Master of Engineering, Computational Science and Engineering
2-year Research Masters, Focusing on Data Science and Deep Learning.
Universidad de Buenos Aires
Engineer's degree, Electrical Engineering
EE degree focused on Signal Processing, with a minor in Computer Science.
Research Assistant - Computational Perception and Cognition Lab
Developing video understanding models under Dr. Aude Oliva, focusing on multi-modal embeddings and memorability prediction.
Software Engineering Intern - Bizview Team (Geo)
Developed hierarchical ML models for business storefront classification. Built model-agnostic hierarchical layer for improving classification with hierarchical class information.
Teaching Fellow - Data Science
Taught advanced sections. Introduces complex concepts and deepens lecture topics. Lectures given include: regularization in linear and logistic regression, decision trees, ensemble methods, neural networks.
Machine Learning Intern in the Intelligent Video Analytics Team
Researched and implemented deep learning architectures for Human Action Recognition (2D and 3D CNNs). Adapted state-of-the-art methods, implemented multiple papers as recent as CVPR 2018, and combined promising ideas. Used Tensorflow and Keras.
Researched computer vision techniques for flaw detection in the Center for Industrail Research. Developed automatic vision-based pore detection system for metallic surfaces.