Hello,
I am Amina Sagheer
My passion for coding and technology drives me to continuously explore new areas of development. From building responsive web applications to diving deeper into cybersecurity, I’m committed to expanding my skills and staying at the forefront of innovation. Beyond technical work, I’ve embraced leadership, entrepreneurship, and tech stewardship—learning to develop technologies that not only solve problems but also serve the greater good. I believe in pushing boundaries and working on projects that make a meaningful impact on both users and communities.
- Designed and developed a fully responsive website, optimized for all devices and browsers.
- Created a user-friendly interface aligned with company branding and objectives, enhancing customer engagement.
- Deployed the website on a cloud-based hosting platform, ensuring high availability and streamlined deployment.
- Collaborated with stakeholders to gather requirements and deliver a business-focused solution.
- Emphasized clean, maintainable code, SEO optimization, and performance enhancements throughout development.
- Completed two AI-driven projects and a hackathon, focusing on advanced AI technologies and real-world web application development.
- Designed, implemented, and optimized AI models, gaining hands-on experience with machine learning frameworks and tools.
- Collaborated with a multidisciplinary team to solve complex engineering challenges, enhancing problem-solving and teamwork skills.
The Pantry App is a web application designed to streamline pantry inventory management. It integrates Firebase for real-time data synchronization and utilizes a Teachable Machine model for advanced image classification of pantry items.
Technologies Used: Frontend: Next.js, React, Material UI | Backend: Firebase (Firestore) | AI: Teachable Machine | Data: Kaggle | Deployment: Vercel
During the Headstarter 36-hour hackathon, my team and I developed TimeSync, a web application addressing global time management challenges. It simplifies calculating the remaining time until a target deadline across various time zones, enhancing global scheduling efficiency.
Technologies Used: Python & Flask | Deployment: Vercel | Libraries: datetime, pytz, tzlocal | Frontend: HTML/CSS
The Disaster Relief Management System is a CLI application developed to enhance disaster victim management. It facilitates efficient data entry, medical record tracking, and relief operation coordination by integrating PostgreSQL for secure and reliable data management.
Technologies Used: Programming Language: Java | Database: PostgreSQL | User Interface: Command-Line Interface
