Brayan Rodriguez
Assistant Professor at Pontificia Universidad Javeriana
Cali, Valle del Cauca, Colombia
Summary
🤩
Rockstar🎓
Top SchoolBrayan Rodriguez is an Assistant Professor of Marketing and Doctor of Engineering who combines 11 years of applied software and research experience to study how sound shapes consumer experience using machine learning and crossmodal methods. Trained as a computer engineer and M.Eng., he has built full-stack and backend systems (Django, Node, MongoDB) and applied data pipelines for real-world projects from agricultural decision-support to developer performance platforms. He teaches and has high student evaluations from undergraduate CS courses while publishing multisensory research that bridges acoustic feature extraction, music emotion recognition, and in-store recommendation systems. Based in Cali, Colombia, he pairs rigorous computational methods with hands-on musical practice—an unusual blend that informs both his research design and practical prototypes.
11 years of coding experience
7 years of employment as a software developer
Overseas Visiting PhD Fellowship, Multisensory marketing, Overseas Visiting PhD Fellowship, Multisensory marketing at BI Norwegian Business SchoolMaster of Engineering - MEng, Computer Engineering, 4.68/5, Master of Engineering - MEng, Computer Engineering, 4.68/5 at Universidad ICESIBachelor’s Degree, Computer Science, Music Generation, 4.49/5, Bachelor’s Degree, Computer Science, Music Generation, 4.49/5 at Universidad del Valle (CO)Universidad de los Andes
Spanish, English
Github Skills (52)
pytorch10
python10
machine-learning10
llm10
audio10
deep-learning10
natural-language-processing10
nlp10
jupyterhub9
machine-learning-models9
transformers9
kubernetes9
ipython9
multimodal9
inference9
Programming languages (8)
Github contributions (5)
brayanrodbajo/wikiaves_backend
Aug 2020 - Aug 2021
Backend in Django for a public repository on birds characterization
Contributions:79 PRs, 184 pushes, 2 branches in 1 year
backenddjango
brayanrodbajo/MusicGeneration
Jun 2016 - Feb 2020
This repository is made for an Underdegree Thesis. It's a web application that generates automatic songs based on some representing instruments of Salsa Music by a probabilistic parser to induce a grammar from a corpus based on Grupo Niche songs.
Contributions:33 pushes, 1 branch in 3 years 8 months
probabilistic-parser
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