Caden Gietzen

Mechanical Engineer

Encinitas,CA

Summary

Innovative Mechanical Engineer specializing in robotics and automation, with a strong foundation in mechanical design, project management, and data analysis. Holds a B.S. in Mechanical Engineering-Physics from Point Loma Nazarene University with a consistent Dean's List status. Proficient in a variety of engineering software, including MATLAB, SolidWorks, and Python, with practical experience in machine learning applications. Demonstrated ability to enhance systems and processes through careful design and implementation of automated solutions. Actively seeking opportunities to apply technical expertise in robotics to develop advanced, innovative solutions that improve efficiency and effectiveness in diverse operational environments.

Overview

years of professional experience

years of post-secondary education

Work History

Office Assistant

Webb Law Group

01.2023 - Current

Manage diverse office maintenance and technical support tasks, streamlining office operations.

Engineering Intern

Verve

04.2024 - 06.2024

Supported network and systems engineering teams in updating DNS server configurations and subnet setups in IPAM, enhancing network efficiency and reliability.
Participated in configuring a core router and rigorously testing its deployment configurations, gaining insights into complex network structures and their performance metrics.
These experiences provided a solid foundation in managing and optimizing critical infrastructure that supports high-performance computing applications, relevant to automated and robotic systems.

Accounts Payable Clerk

GoSecure, Inc.

06.2019 - 08.2022

Improved financial operations by integrating new information management software, enhancing payment accuracy and efficiency.

Education

Bachelor of Science in Engineering - Mechanical Engineering

Point Loma Nazarene University

San Diego, CA

09.2019 - 05.2024

Projects

Automated Human Tracker

Designing and assembling a robotic system that uses machine learning to identify and track humans. Utilizing Raspberry Pi, camera modules, servos, and OpenCV for automation.
Responsible for 3D printing components, software programming, and system integration.

Solar Crop Dryer Deployment in Guatemala (Senior Project)

Led the design, testing, and optimization of a portable solar crop dryer to reduce moisture content in corn, directly impacting food preservation and health in rural communities.
Conducted comprehensive research and simulations to influence design decisions, achieving significant results below moisture targets within stringent budget constraints.

Skills

Technical Documentation: Proficient in generating detailed engineering reports and operational documentation.
Prototyping and 3D Printing: Advanced skills in prototype development from conceptualization to functional product.
Software Proficiency: MATLAB, SolidWorks, Python, Microsoft Office (Word, Excel, PowerPoint), Microsoft Teams, Java, OpenCV.
Data Analysis & Machine Learning: Skilled in designing, using, optimizing, and refining Python-based classifiers for large datasets, enhancing predictive capabilities.
Design/Modeling and Simulation: Experienced in using simulation tools to inform design decisions and optimize performance outcomes.
Mechanical and Electrical Tools: Experienced in using measurement equipment and tools for assembly, testing, and maintenance.

Timeline