Professional Summary
Dedicated and innovative Robotics Engineer with a strong foundation in Mechatronics, proficient in ROS1, ROS2, and Gazebo. Experienced in international collaborative projects focusing on visual-inertial odometry and distributed simulation. Skilled in control, manipulation, computer vision, navigation, CAD design, CI/CD, Docker, and web interfaces for robotics. Proficient in machine learning frameworks, including PyTorch and Scikit-Learn.
Experience
Product Development Engineer | Intel Corporation
Jun. 2021 — Feb. 2024
- Developed and wrote tests interfacing with hardware to ensure Xeon processor performance and reliability.
- Conducted extensive data analysis, enhancing testing methodologies and improving software tool efficiency, resulting in a 75% productivity increase.
- Collaborated with an international team in Mexico on a visual-inertial odometry project, enhancing navigation in autonomous aerial vehicles in outdoors environments. [1]
- Worked with a research team from Germany on Gazebo DVS sensor integration and distributed simulation, contributing to advanced robotics simulation techniques. [2]
- Actively participated in the Great Place to Work committee, planning and coordinating team-building activities to enhance departmental morale and cohesion.
Education
Lic. Degree in Mechatronics Eng. | Costa Rica Institute of Technology
Mar. 2023
- Relevant Coursework: Robotics, PID Control, Computer Vision, Machine Learning.
- Graduation Project: UAV Navigation System with Visual-Inertial Odometry.
Licenses & Certifications
Robotics Developer Masterclass | The Construct
Aug. 2024
- Focus: Advanced ROS1 and ROS2, Gazebo Simulation, Robotics Applications.
Reinforcement Learning Specialization | University of Alberta
Apr. 2022
- Focus: RL Algorithms, Deep Q-Learning, Policy Gradient Methods.
Deep Learning Nanodegree Program | Udacity
Apr. 2020
- Focus: Neural Networks, Convolutional Networks, Sequence Models.
Skills
- Robotics & Automation: ROS1, ROS2, Gazebo, Rapid Prototyping, CAD.
- Programming Languages: Python, C++, MATLAB.
- Machine Learning: PyTorch, Scikit-Learn, Reinforcement Learning, LLMs.
- Data Analysis: Design of Experiments, NumPy, Pandas, Matplotlib, Seaborn.
- DevOps & Tools: CI/CD, Docker, Git, GTest.
- Web Technologies: Dash, HTML, CSS, JavaScript, Web Interfaces for Robotics.