Software Engineer & Data Visualization Creator

KEVIN KLEIN

************@*****.*** Burlington, MA GitHub www.linkedin.com/in/kevin-klein-550176283/ PROFILE

• Developer and technical problem solver with a background in creative industries and a focus on building and debugging data-driven applications.

• Creator of StreamStory, a JSON data visualization tool, and PDF-to-Audio, an accessibility-focused audio conversion app.

• Experience in mission-driven, community-oriented development work with a commitment to digital inclusion and expanding access to information.

• Fluent in English and Portuguese; proficient in Spanish and French. EDUCATION & COURSEWORK

Associate of Science in Computer Science

Greenfield Community College, Greenfield, MA 2026

• Phi Theta Kappa Honors Member. President’s List. Peer Mentor & Orientation Leader (GPA: 4.0). Certificates:

• Machine Learning/AI Specialization by Stanford University (Coursera) 2025

• Artificial Intelligence for Disaster Risk Reduction, United Nations Office for Disaster Risk Reduction 2025

• CS50x Intro to Computer Science, Harvard University 2024

• CS50 Programming with Python, Harvard University 2024 TECHNICAL SKILLS

• Programming Languages: Python, Java, HTML, CSS, JavaScript, C/C++

• Frameworks/Tools: JSON, REST APIs, Flask, SQLite, AWS Lambda, Visual Studio Code, Git/GitHub, Jira EXPERIENCE & PROJECTS

Data Science/Software Engineering Intern: The Undivide Project 07/2025—Present

• Helped design, test, and optimize a Climate Equity Dashboard by building ETL pipelines, Lambda-based automations, and data ingestion workflows for government datasets.

• Developed and maintained automated data scrapers for climate, environmental, and socioeconomic data using Python, REST APIs, and structured formats.

• Engaged in cross-team planning, sprint reviews, and documentation efforts on projects focused on climate resilience, digital equity, and nonprofit data access. Full-Stack Developer/Creator: StreamStory 09/2025—Present

• Developed StreamStory, a JSON-based full-stack application using Python/Flask, to visualize streaming data.

• Managed JSON data handling and integrated algorithms for user data aggregation, sorting, and filtering.

• Used Spotify’s API to dynamically display users’ all-time favorite artists, songs, and albums in StreamStory.

• Designed and implemented the full UI/UX using JavaScript and tested with beta users. Back-end Developer/Creator: PDF-to-Audio 01/2024—Present

• Developed PDF to Audio, a lightweight Python application that converts PDF documents into audio files.

• Utilized Google's Text-to-Speech API for PDF-to-Audio conversion tool, enhancing accessibility and experience. Ignite Cohort Member: AI4ALL 07/2025—Present

• Helped build a breast cancer image classification model using a ResNet-based convolutional neural network, achieving 96.3% accuracy on the test set.

• Implemented data-augmentation and class-balancing techniques in PyTorch to improve model generalization.

• Collaborated with peers to design ethical ML approaches, discuss bias mitigation, and connect model decisions to responsible AI principles.

Contact this candidate