I am a full-stack engineer currently studying Electrical Engineering and Computer Sciences at the University of California, Berkeley. My work focuses on building applications that combine great design with scalable engineering.
This tool organizes and presents data from lunar WiFi and cellular technology field tests. Used by NASA engineers and presented to partners like Axiom and Nokia Bell Labs.
Made with: Python, Plotly, Pandas, Numpy and Matplotlib.
Hosted with Streamlit.
A pioneering machine learning model designed to assist in transient classification,
leveraging LSTM and XGBoost to analyze and classify astronomical events.
Made with: Python, Tensorflow, Sklearn, XGBoost, Astropy, Optuna.
(Interactable diagram on the left made with D3.js)
A catalog of over 250,000 transients was obtained from ZTF's survey.
This app is designed for the astronomy community to contribute and classify these objects.
Made with: Python, Flask, SQLite, HTML, CSS, and JS.
Hosted with AWS EC2.
An officially disclosed invention that creates graphical representations of NASA’s biological experiments.
Using machine learning and A.I., SBGAT-BOT is able to extract relevant information from pdfs to generate images.
Made with Python, Streamlit, and GPT-3.5.
An innovative tool that transforms NASA's OSDR datasets into informative visualizations of spaceflight experiments, saving scientists hours on graphical creation.
Made with React, Flask, Langchain, Dash, and SQL.
Hosted on Google Cloud (Contact for access to the tool)
After I founded the Code Society at Bakersfield College, we parterned with Kern Medical to design and deploy an automated check-in system.
Made with Django, HTML/CSS/JS, SQL, and Python.
CoupleSync makes dining out simple and fun for couples. With just a swipe, partners can easily agree on a restaurant.
Swipe "yes" or "no" on restaurant options until a mutual favorite is found, this helps the decision-making process and ensuring a delightful dining experience.
Made with Android Studio using Kotlin and XML.
