Zakkaria

Computer Engineering & Data Science Enthusiast

Resume

ABOUT ME

I am a driven and highly motivated Computer Engineering and Data Science student with a strong passion for hardware technology, cybersecurity, data science and AI. Skilled in developing and implementing innovative solutions, applying interdisciplinary knowledge to tackle complex challenges. Adept at balancing the rigorous demands of dual-degree coursework, demonstrating resilience, adaptability, and strong problem-solving abilities. Collaborative team player with a keen interest in emerging technologies and their real-world applications.

SKILLS

Projects

ATMDeveloped a microprocessor-based ATM system using the FRDM-KL25Z board, implementing GPIO programming, UART communication, and keypad interfacing for user authentication and transactions.Programmed in Embedded C with ARM Cortex-M0+, integrating interrupt-driven logic, software debouncing, and timeout mechanisms for responsive and reliable system behavior.Configured UART and GPIO peripherals, managing real-time data input/output through TeraTerm, with structured control flow for PIN validation, withdrawal limits, and error handling.
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InsupalInsupal is a child-focused diabetes management app integrated with the FreeStyle Libre 2 CGM sensor via its SDK. The app was developed with a mobile-first approach (iOS and Android), featuring a gamified platform where real-time blood glucose data is visualized through customizable animated avatars. Core development included syncing live glucose data, avatar-based health feedback, a child and parent dashboard system, and gamified missions encouraging healthy habits. The tech stack focused on secure API integration, HIPAA/GDPR-compliant data handling, and scalable cloud infrastructure. The app architecture was modular, supporting future expansion (e.g., additional device integrations, AI-driven coaching). User experience design prioritized intuitive navigation, accessibility, and emotional engagement for pediatric users. Backend systems enable parental monitoring, healthcare provider collaboration, and real-time notifications, while the front end delivers an interactive, educational experience.
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SMTP
Built an SMTP application using UDP with enhanced reliability features (three-way handshakes, sequence numbers, acknowledgments,
synchronization mechanisms).Developed a robust system using Java and socket programming for real-time email sending, receiving, and synchronization over UDP.
Implemented device-to-email mapping for authentication and error handling, strengthened system reliability and security in email
transmission.
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ReusEcoDeveloped the ReusEco App with Flutterflow and OpenAI API, delivering sustainable reuse recommendations from scanned items.Integrated robust user authentication features, including sign-up, login, and secure password management.
Achieved finalist status out of 30+ teams in the Smart Mobile Application Contest (SMAC), recognized for innovation in mobile app design.
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Java Based Volunteer AppDeveloped a sustainable app for COP 28 leveraging Java’s Object-Oriented Programming principles to ensure a robust and maintainable design. Using inheritance, I built a flexible framework where specialized classes extend a common base class to handle different types of environmental data and user interactions. Polymorphism allowed dynamic method binding, enabling the app to process various climate models and datasets through a unified interface.The app's user interface was designed with JFrame to provide a responsive and intuitive experience. Encapsulation safeguarded sensitive data, and tasks such as managing personal information and access control were implemented using dedicated classes, ensuring data protection and proper user management. Abstraction simplified complex functionalities, exposing only necessary interfaces to users and other system components. The app not only supports real-time data visualization and user engagement but also ensures scalability and ease of maintenance for future updates and features.

CERtifications

AI & ML Engineering Specialization - Microsoft - (April 2025)
Data Analyst - Meta - (March 2025)
Cyber Security Analyst Microsoft - (March 2025)
AWS Cloud Technology - AWS - (March 2025)
Programming with Generative AI- IIT Guwahati - (Sep 2024)
Cyber Security Specialization - NYU - (Sep 2024)
Machine Learning - Stanford University - (Aug 2024)
Cloud Cybersecurity Professional - Google - (Jul 2024)
Data Analytics Professional - Google - (Jul 2024)
Cybersecurity Professional - Google - (Jul 2024)
TCP/IP - Yonsei University - (Jun 2024)
Data Analytics - CISCO - (Apr 2024)

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