Alan Grijalva
Machine Learning Engineer at Epirus
Hawthorne, California, United States
Summary
👤
Senior🎓
Top SchoolAlan Grijalva is a machine learning engineer with eight years of experience applying advanced ML techniques to real-world physical systems, currently modeling RF power amplifiers at Epirus for RF design, simulation, and digital pre-distortion. His background spans research roles at DFKI and Fraunhofer SCAI, where he developed self-supervised and generative models for underwater perception, time-series anomaly detection, and 3D reconstruction of turbulent flows. Trained in physics (B.Sc.) and autonomous systems (M.Sc.), he combines strong theoretical foundations with hands-on engineering across telecommunications, robotics, and computational fluid dynamics. Alan has bridged lab-grade experimentation—such as trapped-ion work at PTB—with production-focused ML for microwave systems, a mix that helps him translate noisy physical measurements into robust predictive models. Based in Hawthorne, CA, he is comfortable moving models from research prototypes to application in constrained, signal-processing-heavy domains. His uncommon cross-domain expertise lets him spot optimization and statistical-modeling solutions that pure software engineers often miss.
8 years of coding experience
3 years of employment as a software developer
Master's degree Autonomous Systems, Master's degree Autonomous Systems at Bonn-Rhein-Sieg University of Applied SciencesBachelor's degree Physics, Bachelor's degree Physics at Universidad Autónoma de Baja CaliforniaStudent Exchange Physics, Student Exchange Physics at The University of Göttingen
English, German, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (85)
convolutional-neural-networks10
unsupervised-learning10
face9
audio-classification9
self-supervised-learning9
tegra9
nvidia-jetson9
nvidia9
statistics8
autoencoder8
python8
deep-learning8
attention-mechanism8
human-pose-estimation8
feature-extraction8
Programming languages (5)
Github contributions (5)
agrija9/Rosbag-Analyser
Oct 2019 - Jan 2020
Interactive Post-mortem/Live Analysis of ROS Bag Files
Contributions:1 release, 94 commits, 47 pushes in 3 months
rosbagagileros-kineticdata-visualisation
agrija9/Convolutional-VAE-for-3D-Turbulence-Data
Mar 2022 - Mar 2022
Contributions:35 commits in 8 days
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