Currently pursuing a Bachelor of Science in Computer Science with a minor in Neuroscience at Minerva University, San Francisco. Experienced in software engineering, machine learning, and web development, with a strong focus on creating impactful solutions.
ResumeCurrently pursuing a Bachelor of Science in Computer Science with a minor in Neuroscience at Minerva University, San Francisco. I bring experience in software engineering, machine learning, and web development, with a strong focus on creating impactful solutions and connecting technology with human needs.
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Visit the projects section to see the work done with these web technologies.
A cross-platform mobile app developed in Flutter, utilizing Firebase for backend services including real-time data synchronization, user authentication, and push notifications. Integrated with the Google Maps API to enable location-based filtering and deal discovery, it leverages Firestore’s capabilities for complex query handling and efficient data retrieval, ensuring seamless user experience.
A streamlined social media marketing automation platform built with Firebase for data storage and role-based user management. It includes API integrations for automated posting on platforms like Instagram and Facebook. The frontend, designed with HTML, CSS, and JavaScript, supports a task management system with Firebase real-time database updates, optimizing workflows and client engagement tracking.
A task and time-tracking system for student work-study programs, developed with React on the frontend and Firebase as the backend. Real-time database synchronization allows dynamic updates of task status, while Firebase authentication enforces secure role-based access control, ensuring privacy and efficient data management for both students and administrators.
An NLP-powered application that employs BERT for assessing goal statements against SMART criteria. Developed using Python and Flask, it preprocesses input text, tokenizes it, and leverages BERT’s contextual embedding capabilities for precise goal evaluation. The backend supports an API endpoint for seamless real-time access and model predictions.
A full-stack health and fitness tracking app built with Flutter and Firebase, designed for cross-platform functionality. Firestore stores user activity logs and workout data, while Firebase Analytics captures engagement metrics. Integration with external fitness APIs provides personalized workout recommendations, and the app’s data visualization features track user progress visually.
Conducted data-driven research in Neuro-Oncology, utilizing Python libraries like Pandas and SciPy for statistical analysis and predictive modeling. Data visualization tools (Matplotlib, Seaborn) were employed to interpret complex data patterns, and machine learning techniques were applied to develop models for neurological condition prediction, leading to a peer-reviewed publication.
Comprehensive development services for web and mobile applications, covering both front-end and back-end technologies. I specialize in building responsive, scalable, and high-performance applications using frameworks like React, Next.js, and Node.js.
Expertise in designing and developing robust back-end systems, ensuring data integrity, security, and optimized performance. Skilled in server-side programming, RESTful API development, and database management using technologies like Firebase, PostgreSQL, and MongoDB.
Leveraging AI and machine learning to build intelligent systems for data-driven insights and automation. Proficient in Python, TensorFlow, and scikit-learn for developing predictive models, NLP applications, and computer vision solutions tailored to your business needs.
I develop cross-platform mobile applications using Flutter, enabling seamless user experiences across iOS and Android. Leveraging Flutter’s widget-based architecture, I create visually appealing and highly responsive UIs. My development process includes integrating Firebase for real-time data, implementing secure authentication, and using REST APIs for efficient data retrieval and manipulation.
My approach to product management is enhanced by my background in cognitive neuroscience, allowing me to blend insights from human cognition and behavioral science into the software development process. I prioritize user-centered design and leverage A/B testing and data-driven decision-making to create intuitive, user-friendly products. By applying principles from neuroscience, I ensure that my products not only meet functional requirements but also deliver meaningful user experiences that drive engagement.
I combine my expertise as a teaching assistant at Minerva University, where I support over 120 students in Machine Learning, Software Engineering, and Data Structures, with global tutoring experience across the US, UK, and Egypt. Through one-on-one mentorship, code reviews, and interactive tutorials, I simplify complex concepts, foster academic success, and adapt teaching methods to diverse educational backgrounds.