Python - Jupyter Notebooks
Classifed Barred Spiral Galaxies, Unbarred Loose Spiral Galaxies, In-Between Round Smooth Galaxies, and Round Smooth Galaxies using CNN's (91%), Decisin Trees(71%), and KNN(65%) with the Galaxy10 DECals dataset.
CNN - C++ - Python
StarSense estimates a satellite’s 3D orientation using only an image of the night sky—no GPS or compass required. It detects stars, matches them to a catalog, and outputs the camera’s rotation, visualized on a celestial sphere with labeled constellations and direction arrows.
CNN - C++ - Python - Ruby
Predictiong Nuerolodocal disorder based off facial expressions using CNN, achieved a 75% accuracy
C - Python - React - JavaScript - React
Developed a sketch-to-3D model generator using OpenAI’s Point-E, reduced 3D model generation time by 30%
HTLM/CSS - Flask - React - SambaNOVA - IoT
Plant Smarter uses IoT sensors and a machine learning model to monitor and optimize plant growth conditions. It provides real-time feedback on temperature, humidity, and sunlight, and continuously improves through live data updates. The system promotes smarter, more sustainable farming.
HTLM/CSS - JavaScript - Cloudinary
Risk Calculator is a web-based tool that aggregates crime, environmental, and economic data to generate a risk score for any location. It helps users make informed decisions about safety and livability using a machine learning model served via a Flask backend and visualized through a React frontend.
JavaScript - EJS - React
Website where users can go to find out what government positions are up for election, and who are the candidate running for elections. The goal is to increase the turn out amonst young adults in their communities
Meyers Lab
May 2025 - Present
▸ Developed Python software to implement a neuroscience research paper, integrating StimJim and DAQ for EMG recordings
▸ Configured and tested neural stimulators (nerve, brain, VNS) on a rat model for precise stimulation control
UT Dallas OIT
Feb 2023 - Present
▸ Automated the UTD loaner program's device checkout system using Microsoft Automate, reducing checkout time by over 60%
▸ Led a team of 4 to implement automation solutions in Computer Labs using Microsoft Automate, boosting efficiency by 23%
UTD CON Lab
Oct 2025 - April 2025
▸ Developed algorithms using ROS2 and Python within the Crazyswarm framework, enabling 30+ drones to autonomously navigate and create shapes in the sky, which improved pathfinding efficiency and reduced collision instances
▸ Implemented a system for drones to identify the closest drawing points, achieving a response time of under 200 milliseconds
Leidos
Jan 2025 - Jan 2025
▸ Developed a machine learning-powered record linkage tool using the Record Linkage library, achieving 90% accuracy in identifying relationships across user-uploaded datasets
▸ Implemented a data anonymization tool using the Faker library with 100% accuracy enabling anonymization of sensitive info
Erick Jonhsonn School of Engineering and Computer Science
Jan 2024 - Oct 2024
▸ Enhanced classification precision and efficiency of EEG signals related to schizophrenia by implementing Quantum Support Vector Machine (QSVM) algorithms through PennyLane with a schizophrenia detection rate of 95% accuracy
▸ Synthesized insights from over 35 Quantum Machine Learning Research Papers to author a comprehensive research paper on building QML models and analyzing their limitations
NASA L'Space
May 2024 - Oct 2024
▸ Collaborated with 15 students to design a conceptual robot for analyzing Martian surface and gather data on its water history
▸ Designed an obstacle detection and avoidance system capable of identifying hazards within a 3-meter range while maintaining traversal speeds 20-30% faster than Full Mapping and Traversability Analysis Systems
B.S in Computer Science
2022 - 2026
B.S in Touching Grass
2038 - 2042
I'll only repond to proposals that match my interests and schedule, thank you
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personal - peteindoeh@gmail.com
business - kelannazangue@gmail.com
