About
I am a software engineer and robotics researcher with a Master’s in Engineering and a Bachelor’s in Electrical Engineering. My expertise spans software development, automation systems, and cloud infrastructure, with hands-on experience in robotics, drone systems, and embedded control systems. I am passionate about scalable applications, human-robot interaction, and innovative system design that bridges software and hardware technologies.
Education
- M.S. in Engineering – University of Wisconsin-Milwaukee
- B.S. in Electrical Engineering – Universidad de los Andes, Colombia
Work Experience
- Robotics Software Engineer – ICR247 (2024–Present)
- Led the launch of automation software solutions
- Developed scalable apps using Python, C++, control algorithms
- Collaborated with Wandelbots, Vex, Altitude AI on joint projects
- Senior Software Development Engineer – Valqari (2023–2024)
- Integrated drone solutions using ROS2, IoT, and AWS
- Built automated flight systems and managed EC2 cloud infrastructure
- Graduate Research/Teaching Assistant – UWM (2020–2022)
- Developed control systems for assistive robotic arms
- Integrated EtherCAT/CANOpen systems in mobile robots
- Taught programming, Unity, and advanced mechatronics
- Robotics Engineer Intern – Precision Zone (2022)
- Developed robotic demos using Yaskawa arms and vision systems
- Presented at IMTS 2022 with interactive robot integrations
Technical Skills
- Languages: C, C++, Python, SQL, Bash, Java, Swift
- Infrastructure: AWS, Docker, Linux
- Tools: Git, Jenkins, CI/CD pipelines
- Frameworks: OpenCV, PyTorch, Scikit-Learn
- Other: API development, Technical documentation
Recognitions & Awards
- mHUB Fourth Revolution Awards Finalist (2025)
- Most Fundable Companies, Platinum Level (Pepperdine 2023)
- NSF and UWM Travel/Research Grants
- M-WERC & EATON Tech Challenge Winner (2020)
Invention Disclosures
- Smart Eye-Gaze Control Drive
- Modular Inductive Proximity Sensor
- Smart Shoulder Rehabilitation Device
Certifications
- FAA Part 107 License
- Swift for iOS UI – Tecnologico de Monterrey
- Machine Learning Specializations – IBM, Deeplearning.ai
- Plant PAX – Rockwell Automation