Software Engineer Research Assistant

Education:

Worcester Polytechnic Institute (WPI), Worcester, MA

Master of Science Aug. 2022 – May 2024

Major in Mechanical Engineering

Cumulative GPA: 3.0/4

Courses: Deep Learning, Heat Transfer, Fluid Mechanics Worcester Polytechnic Institute (WPI), Worcester, MA Master of Science Jan. 2021 – Dec. 2022

Major in Robotics Engineering

Cumulative GPA: 3.88/4

Courses: Robot Control, Sensor Fusion, Robot Dynamics, Machine Learning Worcester Polytechnic Institute (WPI), Worcester, MA Bachelor of Science Aug. 2016 – May 2021

Major in Robotics & Mechanical Engineering

Cumulative GPA: 3.0/4; Graduated with Distinction

Courses: Software Engineering, ROS, Embedded Systems, Design Analysis, Path Planning Professional Experience

Research Assistant for Automated Design Aug. 2018 – May 2024 Software Engineer (TypeScript, HTML/CSS, MATLAB, Angular, Node.js) Worcester, MA

• Developed force and kinematic analysis algorithms and a web app for designing planar mechanisms, enabling real-time analysis and enhancing usability for novice users.

• Coordinated with four cross-functional teams to implement this tool, which professors have adopted across three courses, benefiting over 100 students annually. Research Assistant for iMdc Aug. 2022 – May 2024

Software Engineer (C++) Worcester, MA

• Reduced SLM computational costs by 20% using adaptive mesh techniques.

• Automated laser calibration in C++, improving production efficiency across materials. Research Assistant for Human Computer Interface (HCI) at WPI May 2019 – Aug. 2022 Software Engineer (Python, C#) Worcester, MA

• Engineered a gesture recognition system in collaboration with a research team, leveraging CNNs and LSTMs to achieve a 95.89% cross-validation accuracy on 31 classes. NASA’s SRC competition Aug. 2020 – Jul. 2021

Team Member for WPI’s team Capricorn (C++, BASH) Worcester, MA

• Designed and implemented multi-robot coordination using RTAB-Map and ROS within a 20- person team, enabling three robots to navigate simultaneously and avoid collisions. Course within Computer Science Department at WPI Mar. 2019 – Apr. 2019 Software Engineer – Collaboration with Brigham & Woman’s Hospital (JavaFX) Worcester, MA

• Collaborated with an 8-person team to develop a top-rated kiosk app with advanced features.

• Enhanced navigation efficiency by 30% through pathfinding algorithms and route planning. Skills

Programming Languages: C/C++, Python, MATLAB, TypeScript, HTML/CSS, C#, Java, XML Frameworks / Tools: Angular, Node.js, Unity, ROS, JetBrains Products, GitHub Foreign Language: Advanced Beginner Chinese (HSK2), Intermediate Spanish (B1) Alexander Galvan

*******@*****.*** 703-***-****

LinkedIn Google Scholar GitHub

Projects

Autonomous Mechanism Analysis Pipeline (MATLAB) Dec. 2024 – Feb. 2025

• Developed autonomous pipeline for 70 students to analyze crank-slider and four-bar mechanisms, heavily reducing manual effort by 150%. View Code. Sensor Fusion: DonkeyCar Project (C++) Aug. 2021

• Integrated ultrasonic and infrared sensors to enhance real-time obstacle detection accuracy.

• Achieved an 86% success rate across 28 scenarios encountered by the car. Pathfinding Optimization Project (Python) Mar. 2021 – May 2021

• Determined efficient pathfinding algorithm for vehicles traveling between points on a 2D map. Image Caption Generator (Jupyter Notebook) Oct. 2020 – Dec. 2020

• Designed an image captioning model combining ResNet50 and bidirectional LSTMs to generate detailed, descriptive captions. View Code and View Project.

• Achieved benchmark scores of CIDEr (0.68 – 0.69), ROUGE-L (0.40-0.41) and METEOR

(0.074-0.076) for evaluation.

TurtleBot (Python) Nov. 2019 – Dec. 2019

• Mapped a 4-foot by 7-foot environment with a TurtleBot using ROS, Gazebo, and RViz, achieving precise spatial awareness for small-scale navigation.

• Optimized driving mechanics for better path adherence and quicker area scanning with vector- based pathfinding, A* algorithm, DFS expansion, and obstacle avoidance. Dynamic Object Handling and Classification (C++, Python, MATLAB) Sept. 2019 – Oct. 2019

• Enabled the robotic arm to organize and classify objects based on shape and color.

• Transitioned code from MATLAB to Python, optimizing video streaming and improving system efficiency by approximately 30%. View Project Video. Mechanical Design and Fabrication (CAMWorks, SolidWorks) Dec. 2018

• Machined a 5-10 cm brass Christmas tree using CAD and lathe fabrication techniques.

• Fabricated a piston achieving 0.01 mm precision using CNC milling. Experimental Data Acquisition & Analysis using LabView Aug. 2017 – Dec. 2017

• Measured soda can pressure pre/post-opening with a strain gauge, achieving 10% accuracy.

• Integrated force sensors on a tensile bar to validate stress equations experimentally.

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