AI Electronic Engineer | Data Scientist | Researcher
I'm an experienced Data Scientist and Engineer with a background in electrical engineering and software development, specializing in AI, machine learning, and image processing. I’m passionate about leveraging data-driven approaches to solve complex challenges in health, embedded systems, and integrated circuit design.
- 📍 Zapopan, Mexico / Bonn, Germany
- 🌐 github.com/alonso59
- 📧 german.pinedo@mifral.com
Programming:
C/C++, CUDA, Python, TypeScript
Frameworks:
TensorFlow, PyTorch, scikit-learn, MxNet, TensorRT, Hugging Face, ONNX
AI & Data Science:
Machine Learning, Deep Learning, Image Processing, Data Analysis, Predictive Modeling, Data Visualization, Statistics
Hardware & Design:
Verilog, System Verilog, Embedded C/C++, TCL
Synopsys Design Compiler, Cadence Innovus, Mentor Graphics ModelSim
Xilinx Vivado, Altera Quartus
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Postdoctoral Researcher, Institute of Pathology, University of Bonn
Medical Imaging Analysis for cancer applications (2024–Present) -
Engineering Professor, Universidad Panamericana (UP)
Probability and Statistics, Advanced Parallel Programming with CUDA/C++ (2023–2024) -
Master's Assistant Professor, Cinvestav Unidad Guadalajara
Embedded System Design, Digital Image Processing (2020–Present) -
Research Intern, Institute of Applied Mathematics, University of Bonn
Deep learning for retinal layer segmentation (2022) -
Process Engineer, Sanmina SCI
Medical device manufacturing, process optimization (2017–2018)
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PhD in Electrical Engineering
CINVESTAV-GDL (2020–2024) -
MSc in Electrical Engineering, Electronics Design
CINVESTAV-GDL (2018–2020) -
BEng in Communications and Electronics
Universidad Autónoma de Zacatecas (2011–2016)
- OCT-Seg: Optical Coherence Tomography segmentation & analysis
- RIQA-DL: No-reference retinal image quality assessment using deep learning
- SDR-UAZ-AEM: Software Defined Radio on FPGA, QPSK modulator
- TUZO-I: High-school educational satellite (Can-SAT Project)
- Pe-Mem: Persistent Memory for Database Servers (Oracle Intern project)
- α-cen: Co-Processor for deep learning applications (Intellectual property)
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Deep learning-based SD-OCT layer segmentation quantifies outer retina RPE65-IRD
IOVS (under revision), 2024 -
Macro Memory Cell Generator for SKY130 PDK
IEEE Access, 2024 -
The Genesis of AI by AI Integrated Circuit: Where AI Creates AI
MDPI Electronics, 2024 -
Suitability Classification of Retinal Fundus Images for Diabetic Retinopathy
MDPI Electronics, 2022 -
Artificial Intelligence-Based Referral System for Patients With Diabetic Retinopathy
IEEE Computer, 2020
References and full publication list available upon request.