Samee Rauf

714-603-6427 · [email protected] · Resume · BIO

Bringing AI solutions to life 🤖🚀
I’m an AI and Software Engineer I love building robust solutions that enhance efficiency and streamline workflows.

Experience

Software Engineer

PMG, Dallas, Texas

  • Designed and developed a scalable application to ingest, clean, and analyze client sales data, enhancing data accuracy and enabling real-time business insights.
  • Automated reporting workflows by integrating the Google Sheets API and Slack API, streamlining data-driven decision-making with timely client updates.
  • Engineered a secure data pipeline with AWS S3, optimizing file uploading, downloading, and large-scale data processing.

June 2024 – Present

Security Researcher

CSUF (The Walt Disney Project), Anaheim, CA

  • Built an automated system using the Snoozy Large Language Model within the GPT-4ALL ecosystem to quickly generate and deploy reliable, audited system configurations, improving efficiency and security in system management.
  • Developed a user-friendly GUI to interface with the large language model and the configuration tool (Progress Chef), enabling seamless communication and configuration request management.
  • Achieved a 35% reduction in system configuration management time and presented findings to Disney stakeholders.

August 2023 – May 2024

Research Assistant

California State University Fullerton, Fullerton, CA

  • Trained a machine learning model in Python (SciKit-learn) to classify higher education students’ graduation vs. dropout probabilities using various socioeconomic, macroeconomic, and academic performance factors.
  • Preprocessed 4,424 observations, utilizing a random forest algorithm to achieve a 90% classification accuracy.
  • Presented research at the National Conference on Undergraduate Research

May 2023 – July 2023

Software Developer

CSUF (Los Angeles County Project), Fullerton, CA

  • Developed a web-based central card management system for LA County’s automated parking lots using React.js, Express.js, and SQLite, streamlining the permit process.
  • Created login/registration and parking permit UIs serving 1,000+ users.
  • Implemented server-side logic for data CRUD operations, enhancing reliability.

July 2022 – February 2023

Undergraduate Researcher

California State Polytechnic University, Pomona, CA

  • Investigated advances in 2D and 3D pose estimation models, ranging from binary decision trees to machine learning algorithms.
  • Evaluated strengths/weaknesses of four deep learning models to recommend the most accurate approaches for Pose Estimation, presented at the 7th Annual Creative Activities & Research Symposium.

June 2021 – August 2021

Education

California State University Fullerton

Bachelor of Science, Computer Science
GPA: 4.0/4.0

Graduation: May 2024

Relevant Coursework: Data Structures & Algorithms, Big Data & Data Science, Software Engineering, Databases, Operating Systems, Artificial Intelligence

Fullerton, CA

Cypress College

Associate of Science, Biology
GPA: 3.7/4.0

Graduation: May 2022

Cypress, CA

Skills

Programming Languages & Tools

Languages: Java, C++, Python, C, HTML, CSS, R
Frameworks/Databases: Node.js, React.js, Express.js, SQLite, Firebase
Technologies: Visual Studio Code, PyCharm, GitHub, Git, RStudio

Workflow
  • Data-Driven Development & Analysis
  • Full-Stack Web Development
  • Agile Development & Scrum Practices
  • Automation & System Integration
  • Cross-Functional Collaboration

Projects

Book Forum

GitHub Repo  |  Live Demo

Developed a full-stack book discussion platform using React.js and Firebase, implementing real-time data synchronization and user authentication. Built with scalability in mind, serving a growing user base while maintaining optimal performance.

Technical Achievements:

  • Implemented real-time data synchronization using Firebase listeners and React Context API for efficient state management
  • Designed and implemented NoSQL data models in Firestore for optimal query performance and data relationships
  • Built secure user authentication flow with email/password and OAuth providers, including role-based access control
  • Implemented lazy loading and pagination for large data sets, optimizing data retrieval and user experience

Core Technologies:

  • React.js with Hooks and Context API for state management
  • Firebase (Authentication, Firestore, Cloud Functions)
  • Node.js for serverless functions and backend logic
  • Jest and React Testing Library for unit testing

Website Screenshot Gallery

GitHub Repo  |  Live Demo

A React application that allows users to capture and store screenshots of any website using the Apiflash API. Users can specify screenshot format (JPEG/PNG/WebP), dimensions, and block ads or cookie banners for a cleaner image. The app displays generated images in a built-in gallery, providing quick access and reference.

Key Features:

  • Customizable screenshot settings (format, width, height, no_ads, no_cookie_banners).
  • On-demand API call to Apiflash for real-time capture of any public URL.
  • Automatic URL protocol handling (https:// prefix if missing).
  • Screenshot gallery to display previously captured images, stored in state.

Technologies:

  • React (Create React App) for a component-based front end.
  • Apiflash API for on-demand website screenshot capture.
  • CSS3 for a modern, responsive UI with gradients and hover effects.
  • JavaScript for handling events, form input, and state management.
  • Vercel for fast deployment and hosting.

2023

NBA Statistics

GitHub Repo

Engineered a full-stack NBA analytics platform processing 15,000+ game records. using React.js, Express.js, and MySQL, giving users a dynamic interface to view detailed team metrics and filter games by year, month, or day.

Key Highlights:

  • Built an interactive search bar for quick filtering of game data and team metrics.
  • Created purposeful backend endpoints for efficient data queries, ensuring seamless retrieval of game stats.
  • Provided a clean, user-friendly UI where users can easily explore comprehensive NBA game statistics.

Technologies:

  • React.js for building a dynamic, component-based frontend.
  • Express.js for server-side routing and RESTful APIs.
  • MySQL for structured data storage and efficient queries.

August 2023 – December 2023

Cooking Quiz (“On My Grind”)

GitHub Repo  |  Live Demo

On My Grind is a fun, interactive web application where users test their knowledge of café drinks by recreating popular recipes. Perfect for barista enthusiasts and coffee lovers eager to learn about temperature, syrup, milk, spices, blends, and more.

Key Features:

  • Users choose from multiple ingredient options, receiving real-time feedback on correct vs. incorrect selections.
  • Modern, responsive UI with subtle animations and a circular logo for a polished look.
  • Optional café music adds to the ambiance, with a play/pause feature.

Technologies:

  • React.js for building a dynamic SPA.
  • HTML5, CSS3, and JavaScript for front-end development.
  • Git/GitHub for version control; Vercel for deployment.

2023