Curriculum Vitae Robotics Engineer in United States Houston – Free Word Template Download with AI

Name: Johnathan M. Carter
Address: 1234 Robotics Lane, Houston, TX 77001
Email: [email protected]
Phone: (713) 555-6789
LinkedIn: linkedin.com/in/johnathanmcarters

A highly motivated and innovative Robotics Engineer with over a decade of experience in designing, developing, and deploying advanced robotic systems. A graduate of the United States Houston-based institutions, I specialize in integrating artificial intelligence (AI), machine learning (ML), and automation technologies to solve complex real-world challenges. With a proven track record in the robotics industry across Texas and beyond, I am dedicated to pushing the boundaries of what robots can achieve. My work has focused on industrial automation, autonomous systems, and human-robot collaboration, with a strong emphasis on practical applications tailored for the United States Houston market.

Bachelor of Science in Robotics Engineering
University of Houston, Houston, TX
Graduated: May 2013
Relevant coursework: Robotic Systems Design, AI Programming, Embedded Systems, Sensor Fusion.

Master of Science in Artificial Intelligence and Robotics
Rice University, Houston, TX
Graduated: May 2015
Thesis: "Optimizing Autonomous Navigation in Dynamic Environments Using Deep Learning."

• ROS (Robot Operating System) Certification - Open Robotics, 2018
• Amazon Web Services (AWS) Robotics Solutions Architect - 2020
• Certified Machine Learning Engineer - MIT Professional Education, 2019
• IEEE Certified Professional in Autonomous Systems - 2021

• Programming Languages: Python, C++, Java, ROS (Robot Operating System)
• AI/ML Frameworks: TensorFlow, PyTorch, Keras
• Sensor Technologies: LiDAR, Vision Systems (OpenCV), Inertial Measurement Units (IMUs)
• HARDWARE: Arduino, Raspberry Pi, NVIDIA Jetson
• Software Tools: Gazebo, MATLAB/Simulink, ROS2

Sr. Robotics Engineer
Houston Robotics Solutions Inc., Houston, TX
January 2018 – Present
- Led the development of autonomous delivery robots for the healthcare sector in Texas, improving last-mile logistics by 40%
- Designed and implemented AI-driven vision systems for quality inspection in manufacturing plants across the United States Houston area.
- Collaborated with NASA’s Johnson Space Center to optimize robotic arm control systems for space exploration missions.
- Published research on real-time obstacle avoidance algorithms in peer-reviewed journals, contributing to advancements in industrial automation.

Lead Robotics Developer
Texan Automation Systems, Houston, TX
June 2015 – December 2017
- Engineered collaborative robots (cobots) for automotive assembly lines, reducing human error by 30%
- Integrated IoT platforms with robotic systems to enable predictive maintenance and remote monitoring.
- Trained over 50 engineers in ROS-based development, fostering a culture of innovation within the Houston tech community.

Junior Robotics Engineer
Advanced Robotics Lab, University of Houston
August 2013 – May 2015
- Conducted research on swarm robotics for disaster response applications.
- Developed a prototype for an autonomous drone fleet capable of mapping hazardous environments.

• Autonomous Delivery System (Houston, TX): Designed a fleet of self-driving robots for urban delivery, reducing carbon footprint by 25% in pilot zones.
• Cobot Integration in Manufacturing: Deployed robotic arms in a Houston-based factory to streamline production lines, achieving a 35% increase in output.
• AI-Powered Inspection Robot: Created a machine learning model that detects structural flaws in oil rigs, enhancing safety protocols for the energy sector.

• Attended the 2023 ROSCon in Austin, Texas, presenting a session on "ROS 2 and Industrial Automation."
• Participated in the IEEE International Conference on Robotics and Automation (ICRA) in Houston, 2021.
• Completed a workshop on "Ethics in AI" hosted by the Houston Tech Council, 2022.

• Outstanding Robotics Engineer Award - Houston Innovation Hub, 2019
• Top 40 Under 40 - Houston Business Journal, 2017
• National Science Foundation (NSF) Grant Recipient for AI-Driven Robotics Research, 2016

English (Native), Spanish (Basic)

Available upon request.

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