Summary
Gustavo Aguilar is an Applied Scientist on the Alexa AI team with a PhD in Computer Science from the University of Houston and a decade of experience building NLP and deep learning solutions for noisy, user-generated text. His research spans neural sequence labeling, English-Spanish code-switching, multimodal emotion recognition, knowledge distillation, and transformer robustness—work supported by an NSF grant and a Snap Research Fellowship. At Amazon and prior internships at Salesforce and Alexa Speech he translated research into production-focused methods, including novel internal distillation techniques for BERT and acoustic models that learn semantics without lexical input. A former game developer and competitive chess player, he combines disciplined, strategic thinking with hands-on engineering across research and product settings. He is based in Durham, NC and brings a rare mix of academic rigor and applied impact in conversational AI.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Universidad Centroamericana 'José Simeón Cañas'
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Houston
Spanish, English