About
Highly motivated Frontend Software Engineer with a Bachelor's degree and specialized expertise in building responsive web applications using React.js and Next.js. Proven ability to collaborate with cross-functional teams to deliver user-centric solutions, integrating interactive interfaces with data-driven insights to optimize web performance and user experience. Passionate about clean code, leveraging modern JavaScript, and contributing to innovative projects that solve real-world problems.
Work
VolunteerLink Project
|Frontend Developer
Addis Ababa, Addis Ababa, Ethiopia
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Summary
Led frontend development for an innovative platform, creating an intuitive interface to connect volunteers with organizations and enhance community engagement.
Highlights
Engineered and developed a highly intuitive, user-friendly frontend interface for the VolunteerLink platform using Next.js, significantly improving volunteer and organization engagement.
Integrated robust RESTful APIs to ensure seamless, efficient data exchange and communication between frontend and backend services, enhancing system reliability.
Implemented modern UI/UX principles with Tailwind CSS to deliver a responsive design, ensuring cross-device compatibility and an optimal user experience.
Collaborated effectively with backend developers (using Nest.js) to define API specifications and optimize data flow, streamlining development cycles.
QR Code Generation Platform
|Full-Stack Developer
Addis Ababa, Addis Ababa, Ethiopia
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Summary
Developed a comprehensive web application for QR code generation and customization, enhancing user personalization and optimizing performance.
Highlights
Designed and implemented a comprehensive web application for QR code generation, enabling users to personalize codes with custom colors, logos, and patterns.
Optimized core image processing capabilities, reducing QR code generation time by an estimated 20% through efficient algorithm design.
Developed a responsive and interactive user interface using React.js, JavaScript, HTML5, and CSS3, ensuring accessibility across various devices and browsers.
Managed the full development lifecycle from conception to deployment, ensuring a robust and scalable solution for diverse user needs.
Hand Gesture Recognition Project
|Computer Vision Engineer
Addis Ababa, Addis Ababa, Ethiopia
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Summary
Implemented innovative hand gesture recognition technology, creating interactive and touchless user experiences through computer vision.
Highlights
Developed and implemented a novel hand gesture recognition system leveraging MediaPipe Hands for real-time tracking and accurate gesture interpretation.
Integrated intuitive gesture-based controls, enabling seamless and touchless user interaction with the application, enhancing accessibility and user experience.
Engineered the solution using Python and Computer Vision principles, demonstrating proficiency in advanced image processing and machine learning techniques.
Explored and validated the potential for interactive, touchless user interfaces, showcasing innovative application of computer vision in human-computer interaction.
Education
Debre Berhan University
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Bachelor
Software Engineering
Grade: 3.29/4.0
Skills
Programming Languages
JavaScript, Python, HTML5, CSS3.
Frontend Technologies
React.js, Next.js, Tailwind CSS, Responsive Design, Cross-Browser Compatibility, UI/UX Development.
Backend & API Development
RESTful APIs, Nest.js.
Development Tools & Methodologies
Version Control (Git), Cross-functional Collaboration, Web Performance Optimization.
Data & AI
Data Analytics, Computer Vision, MediaPipe.