Sagun Karki
LinkedIn *********@*****.*** 531-***-**** GitHub
Education
Bachelor of Science in Computer Science Minor in Mathematics May 2026 University of Nebraska-Lincoln Lincoln, NE
- Relevant Coursework: Data Structure and Algorithms, Programming language Concepts, Software Engineering
Skills
Languages: Java, C# .NET, Python, Swift, HTML, CSS, JavaScript, SQL, Bash Technologies/Libraries: AWS, Git, Node.js, React.js, NumPy, Pandas, TensorFlow, OpenCV, Rest API, MongoDB, Docker
Work Experience
AI Intern February 2024 – Present
Nebraska Water Center Lincoln, NE
• Trained machine learning models to analyze the correlation between corn production and key weather patterns, including temperature, precipitation, and sunlight exposure, increasing accuracy by 15%.
Undergraduate Research Assistant September 2022 - Present University of Nebraska-Lincoln College of Engineering
• Designed and implemented a data processing pipeline to clean raw data, reducing time by 60% and improving quality and ease of use for further analysis.
• Analyzed county-level data with two graduate students to quantify the economic and environmental impacts of industries using Python and its packages.
• Analyzed Traffic, Pedestrian, and Bikeshare data from Google and bike-share companies to predict the usage of modes of transportation at various points in the day. Undergraduate Research Assistant December 2023 - February 2024 University of Nebraska-Lincoln SECD
• Designed and implemented a Python Flask web application to streamline data collection and processing for child behavior analysis, resulting in an 80% reduction in time required for these tasks.
• Collaborated with two team members to develop an iPad app connecting two different PolarFlow health sensors, extending the features of the default app of the sensors. Projects
CartSharp
Capstone Project C# .NET, MSSQL, Rest API, Angular, NodeJS, Docker
• Led a group of 5 classmates to develop a grocery app in an agile environment.
• Used ASP .NET MVC design pattern and 3NF principle for ease of use and flexibility. Transit System
Python, Rest API, Tableau
• Acquired transit data from Google Maps API and bike-share data from bike-share programs.
• Predicted the effects of adding/removing transit points to overall traffic and bike share usage. Hawkins Lab
HTML, CSS, JS, Quarto, Markdown, GitHub Pages
• Built a website for a research group, enabling easy updates using markdown and Python code, reducing time spent on maintaining the website by 85%.