Hey, I am Fernando

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I am a System Software Engineer at General Dynamics Electric Boat. I am currently learning and working on real-time Operating system. Through the passage of research and several projects, I have developed a deep passion for embedded systems, robotics, and machine learning. I learn and explore different electrical systems and figure out how they work and how it can be further improved. This portfolio contains some projects that I have worked on as well as what I have learned from these projects.

Education 👨‍🎓


BS Electrical Engineering at University of California, Los Angeles

Graduated March 2024

Experience 💼

UCLA Lab for Secure Systems and Architecture

Research Assistant - Machine Learning

Jan 2023 - June 2023

  • Implemented a machine vision model that could successfully gather and predict the privacy data (keystrokes, passwords) of a VR user through actions
  • Leveraged TensorFlow and OpenCV for streamlined VR integration, optimizing development and deployment.

UCLA Anderson School of Management

Research Assistant - Machine Learning / AR Development

Sep 2022 - Mar 2023

  • Trained and optimized a custom marker detection model for AR glasses
  • Achieved notable accuracy by meticulously labeling a 500-image dataset and using TensorFlow and Python
  • Collaborated with the AR glasses team to integrate marker detection, speech-to-text, and NLP into the device

UCLA Laboratory for Embedded Machines and Ubiquitous Robots

Research Assistant - Robotics / Data Analysis

June 2022 - Aug 2022

  • Developed a pipeline to parse 1170 raw data files of tensions and compressions of a miniature soft robotic system
  • Increased the efficiency of data processing by 10 times using sorting algorithms and python scripting

UCLA Laboratory for Embedded Machines and Ubiquitous Robots

Research Assistant - Robotics / System Development

Jan 2022 - June 2022

  • Engineered autonomous blimps capable of playing a Quidditch-inspired game without manual assistance
  • Harnessed the power of sensors (ESP32-Cam, Nicla Vision), coupled with a finely tuned PID controller, to enhance blimp actuation and responsiveness

Skills ⚙️

Languages:

C, C++, Python, Matlab

Others:

Arduino, CAD, CSS, Computer Vision, Embedded Software, GDB, GitHub, HTML, Keras, Linux, MATLAB, Machine Learning, Microsoft Office, Numpy, Open3D, PCB Design, Pandas, Regression Analysis, Scripting, Soldering, TensorFlow, Unit Testing, Sci-kit Learn.

Projects 🤖

Machine Learning / Artificial Intelligence


Embedded Systems


Data Processing


PCB Design


Robotics


CAD / 3D Modeling