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Miguel Solís Segura


Contact Information


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.