Getachew Mulat Z.
Full Stack Developer @Upwork
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WORK HISTORY
Full Stack Developer @Upwork
Waterloo, ON, CA
As a top-rated-plus freelance Full Stack Developer on Upwork, I successfully developed and maintained a wide range of web applications and APIs, driving growth and customer satisfaction. My responsibilities included developing an automated OCR web app using Laravel and Google Cloud, building a successful B2B SaaS e-commerce application, and integrating third-party payment systems like Stripe, Klarna, and Affirm. I also played a crucial role in optimizing a legacy codebase to meet modern standards and deploying applications on AWS using cloud formation and Docker. With an unwavering focus on quality, efficiency, and usability, I was able to significantly reduce page load times and save thousands of engineering hours.
EDUCATION
Wolkite University
Bachelor's degree, Computer Science
Wilfrid Laurier University
Master's degree, Applied Computing
ABOUT GETACHEW MULAT Z.
Full Stack Developer with proven success in scaling web applications and optimizing performance. Drove 75% faster releases through CI/CD implementation at KMT Corp and architected AWS microservices supporting 500K+ MAUs. Modernized legacy applications using Object-oriented Programming, Java, PHP, Laravel, Vue.js, React.js, Javascript, and TypeScript, achieving 80% faster page loads. Top Rated Plus Upwork Full Stack Developer specializing in B2B SaaS solutions and payment integrations. Expertise in full stack development, Single Page Applications, Software as a service, cloud architecture, API development, and UI/UX optimization. Key wins: Reduced latency by 200ms through cloud-native architecture Built company-wide design system with Vue 3/Tailwind CSS Saved thousands of engineering hours via codebase optimization Achieved 50% reduction in AWS infrastructure costs through optimization Maintained 99.9% uptime for critical microservices Delivered 15+ successful B2B SaaS projects with 100% client satisfaction Decreased bug reports by 70% through automated testing implementation Improved API response times by 60% using Redis caching
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