Shabnam Jabbari

Computer scientist with a strong foundation in software engineering, machine learning, and algorithm design. Currently pursuing an M.S. In Computer Science at California State University, Northridge (expected Spring 2026). Experienced in developing and implementing advanced 3D pathfinding algorithms (e.g., A*) for autonomous navigation systems, including obstacle avoidance, convex hull, and visibility algorithms, and performance-optimized simulations in Python. Proven ability to build innovative software solutions, including simulation tools for NASA/JPL, and full-stack social media applications.

• Endurance-S Project: Endurance-S is a NASA/JPL project which aims to create a high caliber simulation of the Endurance rovers using the Unity Real-Time Development Platform to be used by NASA/JPL employees to test the Endurance rover under different conditions and adjusting different components of the rover. Users are allowed to make modifications in different scenarios to best suit the Moon’s terrain.
• Mushroom dataset classification: Python Implementation and testing of Machine Learning algorithms such as MLP classifier, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Trees and Random Forests, Neural Networks for UCI mushroom dataset and evaluating their performance via multiple metrics.
• Social Media App: Developed a JavaScript-oriented social media application enabling users to create profiles and upload images. This platform allows community interaction through ratings based on the quality of each post. Utilizing Node.js, the project integrates smoothly with a MongoDB database, incorporating Cloudinary for optimized image handling. The application features Google Authentication for secure user registration and management, bolstering its defense against unauthorized access.
• Google Map App: Developed a location-based map application using JavaScript and the Google Maps API. Implemented functionality for users to interact with a map of CSUN by double-clicking on specified locations. Provided immediate feedback on the accuracy of user selections, highlighting correct locations in green and incorrect ones in red. Utilized jQuery for enhanced interactivity.

Southern California Edison STEM Scholarship Recipient, May 2023, Awarded for exceptional academic achievement. Affiliated with California State University, Northridge.