Entry-Level Software Engineer with CS Degree

Feras Machta

*** * ******* **, *******, CA ***** 714-***-**** *********@*****.*** LinkedIn GitHub Summary

Entry-level Software Engineer with a B.S. in Computer Science. Developed a full-stack web application for a capstone project, integrating LLM APIs to improve user experience. Created data-visualization tools for biology research using Python. Eager to apply technical skills and problem-solving ability to drive innovative software solutions.

Education

California State Polytechnic University, Pomona Jun 2023 - Jun 2025 B.S., Computer Science Pomona, CA

• GPA: 3.70 / 4.0

• Coursework: Software Engineering, Operating Systems, Algorithms, Artificial Intelligence, System Design Santiago Canyon College, Orange Jun 2021 - May 2023 Associates Degree in Mathematics, Chemistry, and Biology Orange, CA

• GPA: 3.7/4.0

• Coursework: Calculus, Linear Algebra, Physics, Differential Equations, Organic Chemistry, Cellular Biology Work Experience

Inscribe Heath Sep 2025 - Present

Medical scribe Corona

• Streamlined clinical operations by accurately documenting patient history and physical exams in real-time, allowing providers to focus exclusively on direct patient care. Projects

Weight Watcher AI https://github.com/fmachta/weightwatcherAI Jan 2025 - May 2025

• a fitness app for calorie and workout tracking with AI-driven guidance using the Google Gemini API

• Built a robust system for logging meals and exercise, with user profile management and goal setting

• Data is stored and managed using Google Firebase, enabling efficient user data handling and authentication.

• Technologies: Flutter, Dart, Google Gemini API, Google Firebase Retree https://github.com/fmachta/retree Jan 2025 - May 2025

• Built a Flutter-based retro gaming app with Pac-Man, Snake, Tetris, and more.

• Features secure Firebase Authentication, leaderboards, and a neon-themed UI.

• Published on the App Store.

• Technologies: Flutter, Dart, Firebase

Image to Haptic App https://github.com/fmachta/image-haptic-app Jan 2025 - Jul 2025

• Developed a mobile app that captures images of multiple-choice questions, processes them using AI models, and delivers predicted answers with haptic feedback.

• Integrated Google Cloud Vision for OCR mode to extract text from images, enhancing AI query accuracy for text-heavy inputs, and Supported multiple AI providers with cost tracking and in-app settings for camera, flash, resolution, and API key management.

• Technologies: Flutter, Dart, Google Gemini API, Google Cloud Vision API, OpenAI API, XAI API, Firebase Skills

• Technical Skills: Python, SQL, AWS, React, Javascript, Machine Learning, C++, Docker, Linux, CSS, HTML, Node.Js

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