Objective
Robotics Engineer and graduate student seeking remote or hybrid (Boston area) opportunities in Robotics, Embedded Systems, or Software Engineering. Currently pursuing Masters in Robotics while working full-time developing automated manufacturing systems with PLCs, ROS, and robotic platforms.
Education
University of Maryland, College Park, MD - Expected December 2026
Master of Engineering in Robotics (In Progress)
University of Michigan, Ann Arbor, MI - April 2023
Bachelor of Science in Engineering in Computer Engineering - GPA: 3.035
Relevant Courses:
- Advanced Embedded Systems
- Computer Security
- Computer Vision
- Data Structures and Algorithms
- Embedded Control Systems
- Introduction to Operating Systems
Job Experience
Optimax Systems, Inc. – Robotics Engineer
September 2023 – Present
- Lead project management for robotic automation systems including unit testing, code organization, and coding practice formalization
- Develop control systems using C++, Python, and Structured Text for Beckhoff PLCs and ABB industrial robots
- Implement ROS-based solutions in Ubuntu for robotic motion planning and control
- Establish testing frameworks using TcUnit for PLC code and Google Test for ROS applications
- Drive new feature development and continuous improvement of manufacturing automation systems
- Collaborate with cross-functional teams to design and deploy production-ready robotic solutions
Optimax Systems, Inc. – Robotics Software Intern
June 2021 – December 2022
- Developed remote workflow for code updates and testing using GIT
- Designed MATLAB, HTML, JS, and Python GUIs to interface with ABB robotic arms and tool path algorithms
- Implemented efficient workflows to deploy code revisions from development to manufacturing
- Streamlined robot calibration procedures for the manufacturing floor by introducing version control and reducing code base by half
- Developed applications using RAPID, JavaScript, Python, MATLAB, HTML, C++
University of Michigan Tech Shop – Sales Associate
September 2019 – April 2022
- Implemented POS system from sales floor for university technology acquisition
- Maintained updated knowledge base of technology for consumer and departmental use
University of Michigan Dept. of Mechanical Engineering – Research Assistant
August 2018 – May 2019
“Applications of the Passive Dynamic Walker Method for Bipedal Robots”
- Created an inexpensive base for passive-dynamic research to increase accessibility for other researchers
- Coded Arduino sketches that enabled the robot to walk more efficiently
- Successfully integrated cd, mechanical, and electrical components to achieve a working prototype
Whirlpool Corporation, Benton Harbor, MI – Engineering Intern
June 2018 – August 2018
- Created Google scripts that interpreted workload data and automated productivity tracking
- Condensed systems for recording and tracking data to one simplified team document
- Conducted safety reviews/audits to maintain global safety standards
- Developed team website that aggregated team information and improved efficiency
- Assessed risk and feasibility of potential products to inform licensing decisions
Project Experience
University of Michigan – Thrust Vector Controlled (TVC) Hopper
August 2022 - December 2022
- Created a Thrust Vector Controlled hopper powered by an Electric Ducted Fan (EDF)
- Designed and tested power and flight computer PCBs to achieve flight with altitude and attitude control
- Developed control and telemetry TCP server hosted on a Raspberry Pi
University of Michigan – Forest Health Sensor Project
August 2021 - December 2021
- Created embedded sensor array to monitor and track forest health including forest fires
- Monitored CO2 levels, temperature, and GPS location with I2C-connected sensors
- Implemented cloud communications via LTE and LoRa feather modules using UART
- Relayed data from arrays to a central hub using LoRa modules
- Demonstrated ability to expand sensor connections over SPI, I2C, or UART
University of Michigan – Autonomous Quadcopter Project
August 2018 – December 2018
- Led a four-person team programming an autonomous quadcopter to navigate obstacles
- Implemented Autonomous navigation using PID controls, Ardupilot and Mission Planner