Location: Detroit, MI
Major: Bachelor of Science in Computer Science (In Progress)
Minor: Electrical and Computer Engineering
Honors: Irvin D. Honors College
Graduation: Summer 2025
Relevant coursework:
Problem Solving and Programming,
Fundamental Structures in Computer Science,
Computer Science I,
Computer Science II,
Ethics in Computer Science,
Java Programming,
Computer Architecture and Organization,
Algorithm Design and Analysis,
Software Engineering,
Computer Operating Systems,
Introduction to Theoretical Computer Science,
Introduction to Database Management Systems
Location: Detroit, MI
Degree: Associate of Science in Computer Information Systems
Graduation: 2020 – 2022
Honors: Phi Theta Kappa
Relevant coursework:
Analytic Geometry & Calculus I, II, and Calculus III, Physics for Scientists & Engineers I & II, C Programming Language,
Java Programming Language, English I & II, Fundamentals of Speech, Psychology, Introduction to Computer Information Systems.
Created web applications using Next.js, OpenAI, Firebase, and Stripe API, delivering innovative solutions that enhanced user experience. Led a team of 4 engineers, delivering projects 13% ahead of schedule by implementing Agile methodologies. Mentored by active engineers at Amazon and Bloomberg, improving CI/CD pipelines and adopting Git best practices, increasing deployment efficiency by 30% and reducing integration errors. Collaborated on technical problem-solving, ensuring timely project delivery.
Provided technical support for pharmacy hardware and software, resolving over 45 issues weekly to maintain smooth workflows. Assisted over 30 customers daily, both by phone and in-person, ensuring timely and accurate support. Set up workstations and configured pharmacy management software, optimizing performance and reducing processing times by 20%. Supported pharmacists in preparing 600+ prescriptions weekly, managing inventory, and ensuring timely and accurate medication delivery. Delivered IT support within a pharmacy environment, ensuring system operations and data management were aligned with regulatory requirements. Troubleshot technical issues and enhanced operational efficiency through proactive problem-solving and attention to compliance.
The Siemens NX CAD Rotating Parking Structure tackles urban parking problems with an innovative and space-saving solution. Leveraging NX CAD, the project features 3D modeling with a rotation mechanism, an elevator system for vertical movement, and a gear-operated structure for easy car retrieval. This design optimizes space usage and minimizes user waiting times. Achievements include recognition as the NX CAD Best in Section Winner and completion of the Siemens NX CAD certification, showcasing proficiency in advanced CAD design. Key skills include 3D modeling, design optimization, and mechanical system integration, addressing challenges in production costs, lead times, and assembly processes.
The Swift UI Event Management App addresses the common frustration of users struggling to find, join, and track local events through poorly designed or cluttered apps. The app offers a simple and intuitive solution, featuring user authentication, event listings, and a custom calendar to help users easily browse and manage events. With its streamlined design built in SwiftUI and developed in Xcode, the app offers a smooth user experience, making event management accessible and organized. Key features include seamless event discovery, easy event tracking, and a user-friendly interface that received a 95% positive feedback rate from users. The app was designed using Figma to ensure an intuitive and visually appealing experience.
The Heart Disease Prediction Model is a machine learning-based web application designed to predict the likelihood of heart disease using patient data. This application integrates three powerful algorithms KNN, Decision Trees, and Logistic Regression. Built with the Flask framework, it offers an interactive interface for users to input data and receive predictions. Comprehensive Exploratory Data Analysis (EDA) was performed on the heart.csv dataset, featuring visualizations like histograms, boxplots, and correlation heatmaps. The model leverages scikit-learn for machine learning and pandas, numpy, and matplotlib for data analysis and visualization.
The Pantry Tracker is a responsive web application designed to streamline inventory management through a real-time database synchronization. Built with React.js and styled using Material-UI, this app allows users to easily view, add, remove, and reset inventory items in a seamless CRUD-based interface. By utilizing Firebase Firestore for real-time synchronization, updates are instantly reflected across all devices, making inventory management efficient and user-friendly. The app’s neon-themed aesthetic adds a modern and engaging visual appeal while ensuring a smooth user experience. Pantry Tracker significantly reduces the time and errors associated with traditional inventory management systems, achieving a 30% reduction in management time.
The Python Ping Pong Game is a classic two-player arcade-style game developed using the Pygame library. It offers an engaging gameplay experience where players control paddles to hit a bouncing ball back and forth, aiming to score points by getting the ball past their opponent's paddle. Built with Python, the game features smooth graphics, sound effects, and real-time input handling. A scoreboard tracks each player's progress, with the game announcing the winner when a player reaches 10 points. A pause functionality and customizable player names enhance the user experience, making it both fun and versatile.
The User Management System is a comprehensive web application designed to manage user data effectively. It features a robust backend built with Node.js and Express, allowing functionalities such as user registration, secure sign-in, and dynamic user search. Users can filter data based on criteria like name, age, salary range, and registration details. Developed with a responsive frontend using HTML, CSS, and JavaScript, the system provides an interactive interface for managing records. An integrated database ensures data persistence and allows advanced queries, including searching for users who registered on specific days or never signed in. This project highlights efficient data handling and user-centric design, making it a practical solution for real-world applications. Additionally, the application includes features like real-time updates to the database table, enabling users to view changes instantly. Users can also modify existing records through an editable interface and delete entries when needed. The search engine supports advanced filtering, such as finding users by salary range or registration date, enhancing data accessibility.
The Drone Project Dashboard is a comprehensive data visualization tool designed using Microsoft Excel. It provides an intuitive interface to track and analyze Key Performance Indicators (KPIs), offering insights into project timelines, budget utilization, and task progress. Featuring interactive charts like Gantt Charts, Budget Analysis Graphs, and a Task Completion Pie Chart, the dashboard empowers stakeholders to make informed decisions. Users can easily input project data and view real-time updates on performance metrics, making it a powerful tool for monitoring and optimizing project outcomes.