I am a fourth-year student at Siena University pursuing a Bachelor of Science in Computer Science. I'm eager to become a software engineer and design mobile apps and web applications. My time at Siena has allowed me to develop efficient programming practices and build a strong foundation in programming languages, while my role at a grocery store has shaped my teamwork skills. I am seeking a job in software engineering in front-end or back-end development.
Drinksity is a Swift-based mobile app developed in Xcode that simplifies the process of adding and managing drinks and events by producers. There is an analytics part which allows the producers to know the performance of their drinks and events by allowing the users to rate their drinks and favorite bars. For this app, I collaborate closely with the cross-functional Scrum team to deliver high-quality increments each sprint
Built a full-stack web application using HTML and Javascript to help users organize homework, events, and class schedules to with a goal to simplify daily planning and enhance productivity. Integrated MongoDB as a backend to reliably store and manage user data, improving consistency and enabling seamless access across the platform.
Constructed a web application using JavaScript and HTML featuring interactive widgets powered by various APIs. Built an integrated chatbot capable of responding to user inputs with both Text-to-Speech and Speech-to-Text functionality to create a more accessible, conversational user experience.
Designed a SQL database using oracle with a goal of helping users track workout and fitness goals. Focused on creating a structure that made it easy to understand user progress and exercise data. Learned how to improve queries to make retrieving information faster and more efficient to support better insights into user habits and goal achievement.
Worked with a team to to parallelize Dijkstra's algorithm using Java threads, with a goal of reducing computation time when calculating shortest paths across large graph datasets. Designed and executed performance tests on multiple graph structures to evaluate speed improvements and path accuracy, highlighting how parallel processing can improve efficiency in real-world routing and optimization problems.
Collaborated with a team to develop visualizations and to interpret model predictions on strokes using Python and machine learning. Conducted extensive evaluation using metrics such as accuracy, precision, recall and F1-Score to validate model performances.
| Languages | Tools | CS Classes Taken | Awards |
|---|---|---|---|
| Python | Unreal Engine | Software Engineering | Deans List | Spring 2025 |
| Java | Oracle | Web Application Development | Eagle Scout | 2021 |
| Javascript | MongoDB | Machine Learning | |
| C++ | R Studio | Analysis of Algorithms | |
| Swift | Database Management Systems | ||
| C | Parallel Programming & HPC | ||
| HTML | C Programing in Unix | ||
| SQL | Unix and Linux | ||
| CSS | |||
| R |
tknapp2903@gmail.com
(845) 332-6141