Python
Experienced
Hello, I'm
CS Student @ UTSA
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SWE Intern @ Midwest Comm. Painting
Diplomatic Technology Intern @ U.S. Dept. of State
B.S. Computer Science
Expected Graduation: May 2028
I am currently a sophomore pursuing a computer science degree at UTSA. I was originally raised in Atlanta, GA, but have lived around the world in places like Canada, Nigeria, and Denmark, finally graduating from high school in India. In my free time, I enjoy biking, coding, playing basketball, and flying FPV drones. I love solving problems and learning new things. My specific areas of interest are automation, ML/DL, and software engineering.
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My Recent
A "from-scratch" 2-layer neural network for MNIST classification built in pure NumPy, featuring mini-batch gradient descent, momentum, L2 regularization, and evaluation tools — no ML libraries used.
2025 RowdyHacks 1st Place Project 🏆 ALERG'Z is the smart allergy assistant that scans food barcodes to detect allergens and suggest safe alternatives in seconds.
A Jupyter notebook that builds two sentiment classification models, an LSTM and a Logistic Regression model, on the Twitter140 dataset walking through how to make them as well as their respective strengths and shortcomings.
My HackUTD '25 submission, an intelligent food management system that turns your expiring ingredients into delicious recipe opportunities, powered by NVIDIA's Nemotron llama 3.3 49b model as well as computer vision technology
Developed and designed the full Midwest Commercial Painting public-facing website during my time with the company as a Software Engineering Intern.
An AI system using Natural Language Inferencing to analyze RSS news feeds for the U.S. Embassy in Nigeria, filter security-relevant articles, and generate daily reports for departments like Security, Intelligence, and Public Diplomacy.
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