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John Hamwi

Software Engineer

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About Me

I am a dedicated Software Engineer with a strong background in computer science, mathematics, and graphics design. I am fluent in Arabic and English, with conversational proficiency in French. I have a proven track record of developing and executing test plans, diagnosing and resolving hardware and software issues, and creating innovative projects that enhance user experience.

Experience

Apple, Cupertino, CA

Software Engineer

● Develop and execute test plans for HomeThread and ecosystem-related software to ensure stability and performance.

● Collaborate with cross-functional teams to identify, isolate, and resolve software defects, contributing to the quality assurance process for Apple’s smart home ecosystem.

● Utilize automation frameworks and scripting to streamline testing processes and improve efficiency in software validation.

Apple, Salem, NH

Tech Specialist

● Diagnosed and resolved hardware and software issues, consistently achieving high customer satisfaction.

● Excelled in fostering trust and building strong relationships within the Genius Bar team, enhancing team dynamics, and facilitating open, honest feedback through interpersonal savvy.

● Strong ability to communicate clearly and empathetically with customers, ensuring understanding and satisfaction.

Education

Southern New Hampshire University

Sept 2020 - Feb 2025

Major in Computer Science

Relevant Coursework: Data Structures & Algorithms, Operating Systems, Object Oriented Programming.

Projects

WEMOD

WEMOD is a Python tool that integrates WeMod with Steam on Linux, enabling seamless mod management with enhanced security, compatibility, and a user-friendly interface. This project demonstrates my expertise in Python development, system integration, and software security. Through enhancements, I improved mod injection performance, error handling, and UI design, ensuring a smooth experience for users. This project strengthened my skills in cross-platform development, debugging, and security best practices.

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Movie Recommender

This Java-based movie recommender utilizes machine learning to analyze movie synopses and generate personalized recommendations. It showcases my skills in data structures, algorithms, and Java programming. Enhancements included optimizing search algorithms, improving recommendation accuracy, and refining UI/UX. Through this project, I gained experience in handling large datasets, improving algorithm efficiency, and delivering a better user experience.

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Travlr

TravlrEnhanced is an improved version of the Travlr project, designed for secure, scalable, and optimized travel planning. It highlights my ability in full-stack development, database management, and security implementation. Enhancements included JWT authentication, Redis caching, and API optimizations to improve performance and security. This project reinforced my expertise in backend development, security best practices, and performance tuning.

Original
Enhanced

Self Assessment

My Computer Science journey has strengthened my skills in software engineering, data structures, security, and databases. Through coursework and projects, I honed my ability to develop scalable applications, optimize performance, and integrate security best practices. My ePortfolio showcases my expertise through cross-platform tools (WEMOD), machine learning (Movie Recommender), and full-stack security and performance enhancements (TravlrEnhanced). Moving forward, I aim to expand my cloud computing and cybersecurity knowledge, contributing to innovative software solutions.

Skills

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