Projects

JavaScript, React.js, Node.js, Express, PostgresSQL

An efficient and intuitive inventory management application designed for e-commerce businesses
Complete CRUD functionality: browse, filter, search for products, tags and categories
Users are able to securely login via OAuth 2.0 and GitHub
End-to-end data validation, error handling, and loading states. Website is fully responsive on mobile and desktop

Swift, SwiftUI, Firebase, Spotify SDK

A streamlined music streaming service to track playlists and songs based on the user's current mood
Users are able to manage playlists, search for songs, and view their recent searches with the ability to play songs on-demand
Complete authentication flow and profile picture file upload to Firebase Storage
Sleek UI design completed with custom loading and empty content states to create a seamless experience

TypeScript, React.js, TailwindCSS, Jest, RadixUI

Created a responsive, component-based architecture for maximum flexibility and code reusability
Designed with accessibility at the forefront, following the latest WAI-ARIA standards
Implemented light and dark themes to accommodate modern user expectations
Devised loading "skeletons" and other animations for smooth, hassle-free navigation

Python, Streamlit, Pandas

Developed an intuitive Web App that allows baseball fans to view the statistics of MLB players through an interface with a search engine
Achieved a significant reduction in development time by utilizing external APIs
Increased user engagement by 75% through interactive widgets, charts, and tables
Enhanced the user experience for new users by integrating tooltips and user-input validation

JavaScript, React.js, UI/UX, Figma, Bootstrap, Kanban, GitHub

Steered the design and development of a responsive Web Application for a non-profit partner
Created modular, reusable UI components leading to a 40% increase in development efficiency
Mocked server data in order to deliver the infrastructure needed to populate web pages dynamically
Developed a seamless, unified, and responsive User Experience across mobile and desktop devices

Deep Learning, Python, PyTorch

Developed an application that utilizes Artificial Intelligence to choose an emoji based on a picture of the user's face, accurately capturing their facial expression
Connected with my peers to develop a product from an idea, leveraging effective collaboration and communication skills
Conducted research and experimentation to identify the most effective Deep Learning model
Designed an interface that enables users to snap a picture of their face, which is subsequently analyzed by the AI model

Node.js, Express, MongoDB, Scum

Devised the Backend services and functionality for an Online Bookstore while utilizing the Scrum framework
Assembled a scalable cloud database while including data validation to ensure stability and reliability
Performed weekly Code Reviews and Team Standups to maximize productivity and synchronization
Implemented the Model-View-Controller (MVC) architecture to enhance the flexibility and maintainability of the codebase

Machine Learning, Python, SciKit-Learn

Teamed on a Machine Learning model to predict workshop attendance with a minimum accuracy of 80%
Teamed on a Machine Learning model to predict workshop attendance with a minimum accuracy of 80%
Analyzed historical attendance data and external factors to build a predictive model
Utilized various Machine Learning tools and technologies to create a scalable and reliable prediction model

Machine Learning, Python, SciKit-Learn

Collaborated on a Machine Learning project to infer song genres based on parameters analysis
Improve model performance through selective data cleaning and processing techniques
Conducted thorough research and testing to select the most suitable model for our data
Fine-tuned hyperparameters to achieve optimal model performance with minimal training time

Java, SpringBoot, H3 Database, JPA, O.O.P.

Collaborated on a Machine Learning project to infer song genres based on parameters analysis
Utilized Java and Object Oriented Programming to create and structure class hierarchies, interfaces, and Abstract Data Types to scalability
Created comprehensive Unit Tests to ensure the quality and reliability of the software product
Created the documentation to aid the operation of the various services offered by the API