Darius Mahjoob
Computer Science & Business Administration Major at USC
Passionate about AI, Data Analytics, Cryptography, and Cybersecurity
About Me
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.
Experience
Teaching Assistant
University of Southern California • November 2024 – Present
Courses: TAC 365, TAC 359, TAC 352, TAC 259 – Managing Data in C++, Applied Neural Networks, Applied ML & Data Mining, Basics of AI.
Designed a comprehensive course syllabus and grading framework, culminating in a final project where students built an ETL pipeline using AWS S3, Lambda, and QuickSight. Ported all course materials and grading infrastructure into a custom GitHub Classroom setup, streamlining assignment workflows, automating tests & feedback, and enabling version-controlled student submissions. Administered labs, graded assignments/exams, and mentored students on AI model development, neural network optimization, abstract data types, and graph traversal algorithms.
Data & ML Engineering Intern
DrFirst • June 2025 – August 2025
Automated an ETL pipeline for 53 pharmaceutical brands, integrating AWS S3 and QuickSight to visualize prescription analysis data and reduce manual processing time by over 90%. Developed AWS Lambda scripts for scheduled updates and integrated Microsoft Azure Bot Service for chatbot-driven analytics. Implemented an LSTM neural network to model and forecast brand-level data growth based on historical trends.
Prompt Engineering Intern
Captis Intelligence • May 2024 – August 2024
Developed a chatbot to enhance query efficiency and accuracy by 25% within the Captis Intelligence database. Adapted a pre-trained LLM to generate optimized SQL queries across a dataset of over 5 million prompts, improving search relevance and backend performance.
Projects
Discord Meeting Transcript Bot
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 ProjectML Stock Predictor
Developed 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 ProjectLunch Buddies!
Leveraged 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 ProjectPokemon Desolation
Actively 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 ProjectPokemon Azure
Designed 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 ProjectAI Security Risk Detector
Implemented 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 ProjectLet's Connect
Feel free to reach out for collaborations, opportunities, or just to say hello!