Andres Mendez-Vazquez
Researcher Cinvestav 3A at CINVESTAV UNIDAD GUADALAJARA
Zapopan, Jalisco, Mexico
Summary
👤
Senior🎓
Top SchoolAndres Mendez-Vazquez is a research-focused machine learning and AI scientist with a PhD from the University of Florida and over a decade of experience bridging academic research and industry applications. Based at Cinvestav Guadalajara since 2009, he works on classical and quantum deep learning, tiny/efficient neural models for NPU deployment, and curriculum development for new AI courses. His portfolio includes applied projects for the U.S. Army, Mexican Air Force, Oracle, IBM, NXP and multiple startups, spanning medical OCR/NER, hotel/property matching at million-sample throughput, and LLM-based medical agents with quantization and LoRA fine-tuning. He blends low-level algorithm design (feature selection, similarity engines, parallel indexing) with practical production engineering—optimizing memory, latency and distributed pipelines on AWS/GCloud. An adjunct collaborator with Tec de Monterrey’s AI Hub, he pairs rigorous academic methods with hands-on systemization to make research-ready models run on minimal hardware.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Universidad Autonoma de YucatanPostdoctoral Research, Computer Science, Postdoctoral Research, Computer Science at University of Florida
English, Spanish
Github Skills (6)
python3
machine-learning3
fortran3
machine-learning-models3
data-science2
cython2
Programming languages (1)
Github contributions (5)
kajuna0amendez/Algorithms
Oct 2016 - Oct 2020
Contributions:37 commits, 33 pushes, 1 branch in 4 years
kajuna0amendez/Class_MachineLearning_Jax
Jan 2023 - Feb 2023
Contributions:20 commits, 18 pushes, 1 branch in 25 days
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