My Favorite Projects
These are projects that I have worked on whether it was through school or a personal passion project. These are projects that I am particularly proud of and have gained a lot from working on them.
For my Deep Learning class, my team and I designed and trained generative adversarial network models to reage faces for a given target age. We used different techniques for training and loss functions in order to maintain identity preservation and age-consistency.
Email me for GitHub Link
For my Graduate Machine Learning class, I trained an autonomous agent to navigate through a frozen lake environment by implementing Value and Policy Iteration, Q-Learning, and SARSA algorithms. Implementing these algorithms from scratch helped me understand the mathematical intuition behind why these algorithms work.
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For my Systems & Networking Capstone, my team and I were tasked with using apartments.com data to create an immersive experience for renters looking to buy an apartment. Our team won first place and travelled to Richmond, Virginia to present our project to the CIO and senior engineers at CoStar Group.
Visit Home MakAR
For my Machine Learning class, my team and I used two different machine learning algorithms (Naive Bayes and Multilayer Perceptron) to predict handwritten digits. We created the algorithms from scratch with just mathematical knowledge and NumPy.
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For my Cryptography class, I recreated the AES Cipher entirely from scratch using mathematical concepts and Python. My cipher took hexadecimal text and could encrypt and decrypt the text using the AES Cipher.
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During my time at the InfoVisLab, I helped create a 2-dimensional layout of a Jupyter Notebook in Jupyter Lab to be used for faster code analysis and comparison. My work was featured in one of my colleague's graduate thesis.
Graduate Thesis Link