About
Welcome to my website! My journey in computer science started with a single line of code and has grown into a passion for innovation, especially in medical technology and machine learning. As a senior at the University of Florida, I thrive on leadership and collaboration, demonstrated through my roles in Dream Team Engineering and Rewriting the Code. Currently, I'm interning at Wells Fargo, developing cutting-edge financial software, while my research at UF delves into predictive analytics for education. Outside of my technology endevours I enjoy time outdoors on hikes or at the beach. I also enjoy listening to music, cooking/backing new recipes, and doing puzzles!
Education
University of Florida
Expected Graduation May 2025
Bachelors of Science in Computer Science | Concentration: Artificial Intelligence | GPA: 3.78
Coursework: Data Structures and Algorithms, Object Oriented Programming, Artificial Intelligence Fundamentals, Computer Organization, Programming Language Concepts, Algorithm Abstraction and Design, Natural Language Processing, Introduction & Enterprise Software Engineering, Operating systems, Computer Networking Fundamentals, Introduction to Machine Learning
Certificates: Artificial Intelligence Fundamentals and Applications
Work Experience
Technology Analyst Intern
May–August 2024
Wells Fargo | San Francisco, CA | Java, MongoDB, Springboot, Talend
- Built a Java application using Spring Boot, integrating Swagger UI and OpenAPI 3, designed to statically retrieve and manage customer data and payment scheduling information from APIs, allowing for seamless interaction with critical financial processes
- Integrated AB Initio and Talend into handling data migration to MongoDB, optimizing ETL capabilities for a large scale and accuracy
Peer Mentor for Natural Language Processing
August 2024 – Present
University of Florida CISE Department | Gainesville, FL | Mentoring, Python
- Provided resources and guidance to 160 students in CAP4641 by answering questions, and explaining topics relating to Natural Language Processing to help ensure the success of students throughout the course
Student Assistant Web Developer
October 2023 – Present
University of Florida AI^2 Center | Gainesville, FL | HTML, CSS, Terminal4
- Managed web development initiatives at the AI^2 Center, leveraging Terminal4 to frequently update features and embed custom HTML code, significantly enhancing site functionality and user engagement by 40%
Software Engineering Intern
June –August 2023
Aptiv | Troy, MI | Visual Basic for Applications (VBA) & SQL
- Developed software for Stellantis using Visual Basic (VBA), integrating 200+ data elements into the ECM system, structuring into a customer quote format maximizing profit and ensuring 100% accuracy, reducing the time to populate quote sheets by up to 2 hours
- Designed a SQL database using Microsoft SQL Server for vehicle component data, improving profit analysis and component price history lookup
Head of STEAM and Coding
June 2020–August 2022
Sunrise Day Camp | Long Island, NY | HTML, CSS, Javascriptt
- Designed a summer course with immersive STEAM games and coding lessons to 50+ children affected by pediatric cancer
- Crafted a unique online curriculum and taught programming skills including Scratch, HTML, CSS, and JavaScript
Research
University AI Scholars Research Project
March 2024 - Present
Virtual Learning Environment Intervention Research | Python, Pandas, Scikit-Learn
PI: Ashish Aggarwal
University of Florida Computational Research Group, CISE
- Previous research has highlighted the potential of knowledge tracing in transforming educational data into actionable insights, yet the development of real-time, AI-driven interventions tailored to specific misconceptions remains in its beginning stages. Our project builds on this foundation, proposing an innovative approach that combines deep learning, natural language processing, and neural networks to analyze students' interactions and responses within VLEs, with the goal of pinpointing and correcting misconceptions at their source through the use of Large Language Models (LLM) for automated suggestions to the educator.
- So far, our research has predicted student performance in computer science courses with 78% accuracy using multinomial logistic regression, successfully integrating factors such as GPA, gender, and prior programming experience to enable interventions to be taken based on pre course factors.
Projects
Care Connect
January 2024 - Present
Dream Team Engineering project - Captain | React & SQL
- Implemented a search algorithm to filter through a SQL database with 93 available resources to display user-specific resource matches for the Equal Access Clinic volunteers to distribute to patients, resulting in a quick and efficient distribution
Stroke Predictor
Spring 2024
Machine Learning project to predict strokes | Python, Kaggle, Pandas, NumPy
- Engineered and optimized prediction models (Random Forest, SVM, Logistic Regression) to achieve 88% accuracy in stroke prediction based on lifestyle risks, utilizing SMOTE for class balance and 10-fold cross-validation for enhanced reliability
JAM.
Spring 2023
Introduction to Software Engineering Class Project | React, Golang, Typescript
- Collaborated with three peers to make a music based social media platform implementing the Spotify Web API to enable users to search for their song of the day to share with friends. Leveraged MySQL database for user authentication and data connection
Involvement and Leadership
Dream Team Engineering
Led a team of 4 in collaboration with the CSSALT lab, achieving an improvement in embolism detection accuracy by developing a Python algorithm that automated the detection of air embolisms using a precordial Doppler through sound frequency analysis. Implemented a search algorithm to filter through a SQL database with 93 available resources to display user-specific resource matches for the Equal Access Clinic volunteers to distribute to patients, resulting in a quick and efficient distribution
Rewriting the Code
Collaborated with a team of 4 peer leaders to reflect and amplify the voices and values of the 18,000+ members of RTC Designed a 9-week technical project initiative called Code2Gether, pairing 100+ members to develop skills and technical experiences
Women in Computer Science and Engineering
Coordinated a code-a-thon for 60 local high school students, engaging 50% more participants and fostering an interest in coding. Generated lessons alongside two peers and taught introductory web development skills to 10 local high school students
Technical Skills
Programming Languages
Python | C++ | Java | JavaScript | SQL | HTML | CSS
Frameworks & Libraries
React | Pandas | Scikit-Learn | Flutter | NumPy
Tools & Technologies
Git | Valgrind | MySQL | Cypress | Linux | MongoDB | Talend
Resume
Download Resume below
