Computer Science & Business Administration Major at USC
Passionate about AI, Data Analytics, Cryptography, and Cybersecurity
Hello! Welcome to my personal website, built in HTML, CSS, and JS. Thank you so much for visiting! I'm Darius Mahjoob, a USC student majoring in Computer Science & Business Administration. I'm also enrolled in the Progressive Degree Program (PDP) to receive my graduate degree in Electrical Engineering with an emphasis in Machine Learning. My interests lie in the intersection of Artificial Intelligence & Security, specifically with regards to intelligent digital forensics and autonomous defense systems.
Here, you'll find some of my experience and personal projects that I have developed over the past few years.
University of Southern California • November 2024 - May 2025
Courses: TAC 365, TAC 359, TAC 259, ENGR102 - Managing Data in C++, Applied Neural Networks, Basics of AI, Freshman Academy.
Administrate labs, assist students during office hours, grade assignments/exams, mentor students on AI model development, Neural Network architecture and optimization, Data Structures & Abstract Data Types, and Graph Traversal Algorithms.
Captis Intelligence • May 2024 - August 2024
Developed a chatbot to enhance query efficiency and accuracy by 25% within the Captis database. Adapt a pre-trained LLM to generate optimized SQL queries from a dataset exceeding 5 million prompts.
Developed using Pycord, Groq, and Google Cloud Speech-to-Text, this project transcribes and summarizes audio recordings in real-time, leveraging AI to extract key insights and action items effortlessly to increase productivity and keep tasks on track.
View ProjectDeveloped using Python and TensorFlow, this project predicts stock market trends using a deep learning model trained on historical data. The application integrates Flask for its web interface, providing real-time prediction visualization and analysis tools.
View ProjectLeveraged a BERT Transformer model to calculate similarity scores and pair users based on their preferences submitted via Google Forms. It automates matchmaking to connect responders with their best potential lunch partners.
View ProjectActively contributed as a quality assurance tester and lead composer, writing a full custom soundtrack and improving player experience through detailed testing. The game was developed with scripting enhancements in Ruby for optimized gameplay mechanics.
View ProjectDesigned an intelligent CPU AI system in C++ to dynamically respond to player inputs and strategies. Also composed the majority of the game's immersive soundtrack to elevate the gaming experience.
View ProjectImplemented a Linear Regression Model to predict the likelihood of future security risks based on prior breaches. This tool helps evaluate server safety using historical data and advanced statistical techniques.
View ProjectFeel free to reach out for collaborations, opportunities, or just to say hello!