iOS Development Projects

bookBuzz

This project was designed as an exploration of UX/UI design and IOS developement
Serves as a social media application for readers
Users are able to post reviews and engage with other users via comment sections, likes, and follows
Gesture implementation and API integration are included
Programmed in Swift

A mobile application developed for young adults to track their spending and improve their financial literacy
Users can view the time and place of their purchases via a map
Track it allows users to add friends and view their purchases to enhance financial accountability and financial awareness
Programmed in Swift
Designed in Figma

An exploration of JavaScript, CSS, HTML, SQLite AWS, and cloud deployment
A website-based educational game to aid low-income students in learning how to program in the programming language of Python
Incorporated integration testing, and unit testing
Developed a REST API with Swagger documentation

An exploration of UX/UI, software engineering technical designs, and unit testing
Proposed for a smart store software system to fully automate the grocery store experience using advanced technology
Developed in Java using Intellij
Created via the use of Figma, Swagger, SonarQube, and Springboot

Developed for the company Level Data using Python, Pandas, Scikit-learn, and statistical modeling
A supervised machine learning project using anonymized K–12 student data to predict academic proficiency
Standardized test scores with z-score and b-score transformations
Trained and evaluated 144 logistic regression and decision tree models across school levels and gender
Analyzed model performance using accuracy metrics, confusion matrices, and entropy
Addressed data cleaning, normalization, and ethical considerations around bias and privacy

Built Neural Network and Logistic Regression models to predict ADHD and sex from brain imaging and socio-demographic data
Implemented data preprocessing techniques, including handling missing values, categorical encoding, and class imbalance correction
Optimized Neural Network hyperparameters (layers, learning rate, batch size) to achieve 72% accuracy, outperforming traditional models
Developed for the WiDS Datathon 2025, a global data science competition focused on advancing women's brain health research.

Created mockups, sketches, and final designs for a full-sized arcade machine using Adobe Illustrator and Procreate
Fabricated designs using a vinyl cutting machine for graphics and laser cutters to engrave designs into acrylic sheets for the control panel

This project and its toolpath were designed on Fusion 360 and made out of wood using a CNC router machine
The project was sanded and stained during the post-processing stage
The cutouts and engravings on the project were designed in Adobe Illustrator and laser cut