🎓 Biomedical Engineer | 💻 Pre-Silicon Validation Engineer @ Intel | 🐧 Linux Enthusiast | 🌐 English & Spanish
I am a proactive professional focused on automation and optimization, with experience in deep learning and computer vision. Driven by curiosity, I continuously expand my skills in computer architecture and embedded systems to build scalable, efficient solutions with real-world impact.
Pre-Silicon Validation Engineer — Intel Corporation (2024–2026)
- Validation test content development in C++ and Assembly for silicon data validation
- Python & Bash scripting for process automation, data pipelines, and CLI tooling
- RTL simulation-based power estimation and SoC power validation
- Register-level debugging and root cause analysis using Linux CLI tools
- CI/CD pipeline integration and cross-functional collaboration across time zones
Intern — Toshiba (2023)
- Developed a Python automation app (Tkinter) to streamline binary injection processes
Mitacs Summer Research Program — University of Saskatchewan, Canada (2023)
- Synchrotron-based imaging processing for tissue engineering using TensorFlow
- Developed denoising models with deep learning (U-Net)
Rock Classification Model with CNN for Mars Rover — UDG Space (2024)
- CNN model using YOLO architecture to classify rock types for Mars Rover missions
- Data augmentation techniques for improved robustness and accuracy
Medical System for Diagnosis of Saccular Aneurysms — IEEE Publication
- Visualization module for aneurysm detection and measurement
- 🏆 Third Place in University's Biomedical Modular Projects Competition
x86 Architecture · RTL Simulation · Register-Level Debugging · Bare-Metal Firmware · SoC Validation · Oscilloscopes · Logic Analyzers
U-Net · YOLO · Data Augmentation
Kernel Configuration · Cross-Compilation · Device Drivers · Yocto Project
CI/CD Pipelines · argparse · grep/rg · awk · sed
- B.S. Biomedical Engineering — Universidad de Guadalajara (2019–2024)
- A.S. Industrial Mechanics — Escuela Politécnica de Guadalajara (2015–2019)