Evan Joseph Lira
1-970-***-**** **********@*****.***
Summary
Entry-level software engineer with a solid foundation in computer science and a strong internship background. Experienced in enhancing software reliability through test coverage improvement and agile methodology. Looking to leverage backend development skills in languages like Python and Java to support robust and efficient server-side solutions. EDUCATION
Colorado State University Fort Collins, CO May 2026 Bachelor of Science, Computer Science
• Coursework: Software Engineering, Operating Systems, Algorithms, Artificial Intelligence, Data Analysis, Data Struc- tures
WORK EXPERIENCE
Parsons Corporation May 2025 - Nov 2025
Software Engineer Intern
• Increased automated test coverage for core front-end components from 45% to 85% using Jasmine unit tests, improving code reliability and reducing regressions.
• Enhanced front-end user experience by implementing UI widgets and fixing user-facing defects in Angular and JavaScript, leading to improved application usability and satisfaction
• Improved team efficiency by actively participating in Agile processes such as sprint planning, daily stand-ups, and retrospectives, which streamlined project workflow and enhanced collaboration PERSONAL PROJECTS
NBA Game Predictor
• Developed a custom web scraper to aggregate 20 seasons of NBA game data from ESPN (scores, team statistics, and matchup details) and persisted it in a structured, analysis-ready dataset.
• Engineered features and cleaned the dataset to train a predictive model that forecasts NBA game outcomes using machine learning techniques.
Basketball Database API
• Designed and implemented a PostgreSQL database and Python-based ETL pipeline to process, store, and automate ingestion of basketball game data from JSON files, significantly improving the reusability of player and team data.
• Integrated the database with the front end to retrieve and display data in an organized, cohesive web interface, enabling clear visualization of teams, player data, and game results. Trip Planner
• Collaborated with a team of four over the course of a 16-week semester to design, develop, and test a full-featured trip planner application.
• Implemented distance calculations and route optimization for trips of up to 20 stops, reducing total travel time by approximately 25% versus a naive route.
Rock Paper Scissors AI
• Engineered a Python program enabling users to play Rock-Paper-Scissors against an AI, incorporating advanced strategic algorithms to predict player moves with 80% accuracy. SKILLS
• Languages: Python, Java, C++, C#, JavaScript, TypeScript, SQL, PHP, Ruby
• Frameworks & Tools: Angular, React, HTML/CSS, Docker, Bash, PowerShell ACTIVITIES
ColorStack Dec 2024 - Present
Member
CSU DevNet Committee Aug 2024 - Present
Member