Software Engineer

Matthew Lee

LinkedIn 206-***-**** College Park, MD *******.*.*******@*****.*** GitHub

Education Bachelor of Science, GPA: 3.58 University of Maryland College Park, MD Aug 2020 - May 2023

• Major in Computer Science Dean’s List: Jul 2021 - Present

• Minor in Innovation & Entrepreneurship

Associate’s in Science, GPA: 3.77 Green River College Auburn, WA Sep 2018 - Jun 2020

• Computer Science Track

Experience API Developer Intern Amtrak Washington, DC Feb 2023 - May 2023 May 2021 - Aug 2021

• Updated and tested multiple APIs leading to consistent improvement of rail transportation across the US and Canada.

• Analyzed several APIs for testing purposes after applying policies for increased security and efficiency through MuleSoft products.

• Participated in daily Agile stand-up meetings, resulting in consistent quality work through efficient communication and collaboration. Peer Tutor TRiO Student Support Services Auburn, WA Apr 2019 - Mar 2020

• Guided 10 students with disabilities weekly in creating customized study plans tailored to their learning needs through effective communication and observation.

• Received a certificate in weekly peer tutor training alongside supervisor and peers.

• Tutor Subjects: Computer Science (Java, Python, C++), College-level Mathematics. Web Developer Intern PT. Enseval Putera Megatrading Jakarta, Indonesia Aug 2019 - Sep 2019

• Implemented new user confirmation feature via email for Indonesia’s largest pharmaceutical and raw materials distributor, improving UX and customer satisfaction.

• Participated in daily meetings with mentors and supervisors, ensuring effective coordination and timely completion of projects.

• Collaborated with mentors with development and website hosting, gaining hands-on experience in web development technologies. Projects Image Classification with Neural Networks Spring 2022

• Developed machine learning models using Multilayer Perceptrons (MLP) and Convolutional Neural Network (CNN) to classify MNIST dataset of 50,000 images using NumPy and PyTorch.

• Achieved 94% accuracy on MLP network and 98% accuracy on CNN using stochastic gradient descent, cross-entropy loss function, and adaptive learning rate.

Visual Odometry Spring 2022

• Created 3D trajectory visualization of a car driving obtained from Oxford dataset in frames of the driving sequence using NumPy.

• Estimated rotations and translations from the essential matrices obtained by analyzing image frames of the driving sequence. Data Science Pipeline on Music Album Success Spring 2022

• Tutorial walkthrough on data science pipeline which demonstrates data collection, data management, exploratory data analysis, hypothesis testing, and report of insights.

• Analyzed artists and album data retrieved from Spotify API and used Pandas to manage data and predict the streaming success of an album.

Skills

• Programming: Python, Swift, Java, Ruby, JavaScript, C, C++, C#, OCaml, Rust

• Frameworks & Libraries: React, Express.js, Bootstrap, Node.js, NumPy, SciPy, Pandas, Scikit-learn, PyTorch

• Tools: MongoDB, CockroachDB, Postman, Git, VSCode, Jupyter Notebook, MuleSoft

• Language Skills: English, Bahasa Indonesia, Chinese – All professional proficiency or above

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