CV

Perception Engineer 2

Magna Electronics

Member of on-board vehicle tracking team.

Member of Technical Staff 2

Draper

Embedded software development and system bring-up.

• Responsible for the design, implementation, and documentation of code on a microcontroller.
• Performed check-out and bring-up of a system alongside a senior engineer, including debugging of any issues.
• Developed Python code for post-processing of test data.

Research Assistant

Persistent Autonomy and Robot Learning (PeARL) Lab, University of Massachusetts, Lowell

Four years of robotics research spanning underwater inspection, predictive manipulation, and autonomy evaluation.

• Designed, developed, and implemented a framework for underwater inspection with a robot within simulation.
• Developed a predictive framework utilizing an Intel RealSense camera, attached to the wrist of a Kinova Robotics Jaco 2, mounted on a Ghost Robotics Vision 60. This allows the system to predict and react to environment motion for better target tracking during and after execution of motions within a dynamic environment.
• Developed test methods and evaluation frameworks for the categorization and measurement of the autonomy of Unmanned Aerial Vehicles, from both a non-contextual and contextual standpoint.
• Gained experience with multiple different robots including a Fetch Robotics Mobile Manipulator, Kinova Robotics Jaco 2, Ghost Robotics Vision 60, Universal Robots UR5e, and Boston Dynamics Spot.

Grader

University of Massachusetts, Lowell

Grader for COMP.4500 Mobile Robotics I.

• Provided students in the lab with feedback and guidance during COMP.4500 Mobile Robotics I.
• Graded the performance of students’ robots in each of 5 lab projects during the semester.
• Worked with the Professor to effectively teach students the material.
• Helped teach debugging and testing principles when students’ code or robots had issues.

M.S.

University of Massachusetts, Lowell

Computer Engineering, 4.0 GPA

B.S.

University of Massachusetts, Lowell

Electrical Engineering, minor in Robotics, 3.95 GPA

An Adaptive Framework for Manipulator Skill Reproduction in Dynamic Environments

2024 21st International Conference on Ubiquitous Robots (UR)

An adaptive framework combining Learning from Demonstration, environment state prediction, and high-level decision making, validated on a legged mobile manipulator across 36 real-world scenarios.

Contextual Autonomy Evaluation of Unmanned Aerial Vehicles in Subterranean Environments

2023 9th International Conference on Automation, Robotics and Applications (ICARA)

A cascaded Fuzzy Inference System for calculating contextual autonomy scores for small Unmanned Aerial Systems, tested across seven sUAS.

Methods for Combining and Representing Non-Contextual Autonomy Scores for Unmanned Aerial Systems

2022 8th International Conference on Automation, Robotics and Applications (ICARA)

Methods for combining heterogeneous autonomy features into a single score, introducing the non-contextual autonomy coordinate and autonomy distance.