Location: San José, Costa Rica
Email: Use this form
GitHub: github.com/MiguelSolisSegura
LinkedIn: in/MiguelSolisSegura
Professional Summary
Robotics Software Developer with extensive experience in ROS/ROS2, C++, and Python. Specializes in platform-agnostic robotics solutions across Windows and Linux environments. Proficient in computer vision, kinematics, motion planning, and path optimization. Skilled in DevOps practices, including Jenkins, GitHub Actions, and Docker for continuous integration and deployment. Fluent in English and a native Spanish speaker.
- Programming Languages: C++, Python
- Robotics Frameworks & Simulation: ROS/ROS2, Gazebo, RViz, Isaac Sim
- Computer Vision: OpenCV
- Operating Systems: Windows, Linux
- Cloud Computing: AWS
- DevOps & CI/CD: Jenkins, GitHub Actions, Docker
- Robotics Fundamentals: Kinematics, Motion Planning, Path Optimization
Professional Experience
Product Development Engineer | Intel Corporation
June 2021 – February 2024
Test Program Development for Xeon Products:
- Collaborated with Test Program and SCAN teams to optimize Intel Xeon processor test programs, enhancing throughput and reliability in semiconductor testing.
- Led initiatives to integrate generative AI technologies for workflow optimization within the Test Program team.
Cross-Team Contributions with Intel Labs:
- Outdoor UAV Localization System (Mexico Team):
- Designed a low-cost 3D localization system for autonomous UAVs using fused visual, inertial, and geospatial data.
- Achieved a localization error of less than 28 cm, exceeding commercial systems’ accuracy at similar price points.
- Integrated stereo cameras, IMUs, and GNSS modules for seamless localization.
- Developed localization algorithms in ROS and Ignition Gazebo for simulated rescue scenarios.
- DVS Plugin Implementation and Distributed Simulation (Germany Team):
- Created a Dynamic Vision Sensor (DVS) plugin for Ignition Gazebo to simulate event-based robotic vision.
- Conducted performance analyses of distributed simulations, identifying architectural bottlenecks and proposing solutions.
- Explored multi-machine simulations for scalable, large-scale robotic systems testing.
Freelance Robotics Engineer | UpWork
August 2024 – Present
- Consulted on ROS2 setup, custom sensor driver development, and multi-platform deployments for startups.
- Designed Telekinesis, a project mapping hand movements to robot joints via computer vision and inverse kinematics.
- Developed an AI-driven home assistant for visual trigger-based control of domotic devices.
- Collaborated with industrial designers to create product sheets and intuitive user interfaces.
Education
Licenciatura in Mechatronics Engineering | Costa Rica Institute of Technology
November 2022
- Relevant Coursework: Robotics, Artificial Intelligence, Computer Vision
Certifications
Robotics Developer Masterclass | The Construct
- August 2024
- Focus: Advanced ROS1 and ROS2, Gazebo Simulation, Robotics Applications.
Reinforcement Learning Specialization | University of Alberta
- April 2022
- Focus: RL Algorithms, Deep Q-Learning, Policy Gradient Methods.
Deep Learning Nanodegree Program | Udacity
- April 2020
- Focus: Neural Networks, Convolutional Networks, Sequence Models.
- ROS Embodied AI Community Group
December 2024 – Present
- Participate in global robotics and AI discussions.
- Collaborate on open-source initiatives for embodied AI projects in the ROS ecosystem.
Languages
- English: Fluent
- Spanish: Native