Bachelor of Science, Computer Science: Software Engineering -Sac State
California State University, Sacramento, CA
Graduated: May of 2024
GPA: 3.66/4.0
Dean's Honors List,magna cum laude, Graduated
Programming Languages: Java, JavaScript, Python, TypeScript, C Libraries & Modules: ReactJS, React Native, MySQL, MongoDB, MariaDB, Django, Node.js, webRTC, Pandas, SKLearn, Numpy, PLT, leaflet, TensorFlow, PyTorch
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MyMLWorkShop: A Swift UI application for building Neural Networks.
SharpifyAI: Developed and trained a PyTorch-based model for upscaling low-resolution images into high-resolution.
LetsFindIt: A React Native and Node.js application for searching missing items using one shot learning.
CloudForm: Developed a relational structured database and implemented UI for CRUD operations.
Deep Learning Technical Lead RA First author on novel deep learning applications for indoor 5G to 6G tech (Feb 2024 - Present).
Working in Sac State's EEE lab under Dr. Eltayeb.
EarthquakeNet: Neural Nets for Earthquake Prediction using time-series data. (Provost Research Excellence award, 1st place Sac State Research symposium - graduate level).
Fellow researcher: Collaborated on LENSE paper: Deceptive Review Detection with a leading CS professor.
Previous ASI ECS Board Director.
I'm a software and a deep learning engineer with a passion for building high impact web applications and working with cutting-edge technologies. With a background in computer science and experience in both front-end, back-end development, and AI development, I bring a comprehensive approach to software development. I'm always eager to tackle complex problems and create user-centric solutions.
Currently, I have completed my Bachelor of Science in Computer Science at California State University, Sacramento.
When I'm not coding, you might find me studying machine learning and deep learning, on a tech project trying to solve a social problem or expanding my knowledge from other developers and deep learning researchers in the community.
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