Summary
Yolanda Pérez is a Full Stack Developer with 10 years of experience, currently building software at Bosch México after a research-focused PhD candidacy at CINVESTAV Guadalajara. She combines strong Java and Python expertise with a researcher's depth in algorithms, process mining, and deep learning, holding a Deep Learning Nanodegree and advanced degrees in computer science. Her background spans applied industrial projects—from emissions and dynamometer systems at Volkswagen to R&D-grade solutions—bridging rigorous research methods with production engineering. Comfortable across backend and frontend stacks, she focuses on shipping reliable systems while exploring AI-driven enhancements. Based in Zapopan, Jalisco, she brings a spectrum of academic insight and practical delivery that helps translate complex models into maintainable software. A detail that sets her apart: she pairs academic research habits with enterprise development practices, making her effective at both prototyping novel ML approaches and integrating them into real-world systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Engineering in Computer Science, Bachelor's degree, Engineering in Computer Science at Benemérita Universidad Autónoma de Puebla
PhD, Computer Science, PhD, Computer Science at Centro de Investigación y de Estudios Avanzados del IPN
Certificate, Deep Learning Nanodegree Program, Certificate, Deep Learning Nanodegree Program at Udacity
Spanish, English, German