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This portfolio project relies on HTML5, CSS3, and JavaScript for the front-end. The back-end includes a bird flight simulation implemented in Javascript, with the application deployed and managed through Node.js.

GitHub

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Includes a Masters ML course with a focus on core algorithms and their applications. Mathematics and Applications of interpretable models - linear reg., logistic reg., Hidden Markov Models - and more complex structures - SVMs, Deep NN, and ensemble tree methods. Focus on data imbalance, bootstrapping, and data modeling applied to a variety of data.

GitHub

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Personal AI co-pilot, a digital instance of myself fine-tuned to write as I do, and to help with case studies and complex problem-solving. Powered by AWS, the agent answers questions in your logical style by providing answers by MCP access to databases containing my knowledge from class and the web, all through a simple React interface.

GitHub

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Developed index for incomplete gentrification (IG) by means of distribuition analysis, performing temporal PCA, and k-means clustering. Conducted randomized control trials to demonstrate the causal impact of my IG Index on housing prices. Use of Python, STATA, LaTeX, Tableau, Powerpoint, etc.

GitHub

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A Princeton Algorithms two-part certification. Java to implementations of fundamental data structures like stacks, A*, and double queues etc. in the first course. The second part was focused on algorithms for graph traversal, string processing, and minimum spanning trees, building complex solutions from the ground up.

GitHub

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Web Application in which reprocesses API data to display every breed of cat and dog. Users can see concurrent ratings and facts characteristic of each breed. HTML5, CSS3, and JavaScript create a responsive and interactive front-end, while Python and Django handle the server-side logic, data processing, and API integrations.

GitHub

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A large-scale mobile app where users upload images or text, creating a vectorized database instance for RAG to generate personalized notecards. Developed using Swift and SwiftUI for native iOS, with Firebase handling real-time data management and cloud storage. CoreML and Amazon SageMaker are integrated for machine learning tasks.

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A native IOS application for introductions to Firebase SDK (Firestore), Swift and SwiftUI. Designed as a simple to-do list application where users can add, update, and delete tasks.

GitHub Demo

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An Expedia mock, no-GUI, Java application which incorporates data encryption techniques, regex, etc. Incorporated self-authored data structures for sorting UID encodes and users, along with a mechanisms for admins to manage users and user debts. The mock includes two inheritance hierarchies to manage the three account types and complex data types dynamically written to a text file.

GitHub Demo

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A handmade coffee bean roaster crafted from raw metals and electronic components, designed to mimic Michael McConnell's build with custom-engineered mechanics. It features both manual control and bluetooth functionality through an RPI integration.