Abraham Asrat

Worked as a Django Backend Developer and DevOps engineer, maintaining APIs optimized for the frontend. Improved load time by 15% through enhanced database optimization and cloud optimization techniques.

Worked on an email analyzer SaaS application that extracts keywords from Gmail and Outlook emails. Utilized the spaCy module for natural language processing to analyze and store relevant email keywords.

Developed APIs using Node.js and implemented CI/CD pipelines for automated deployment. Utilized Docker and AWS infrastructure for seamless deployment and scalability.

Developed an eCommerce website serving over 75,000 users and managing more than 5,000 products. Optimized APIs using various techniques to enhance performance and scalability. Implemented DevOps practices to streamline deployment and infrastructure management.

Worked on a transaction recorder project for Arifpay, tracking an average of 3 million ETB in daily transactions. Developed an ML model to forecast daily transaction outputs along with their locations.

Developed and optimized a functional student management system that enables students to learn, prepare for scholarships, and take international tests. Built using Node.js and MongoDB for efficient performance and scalability.

Developed a Breast Cancer Detection model using CNN during the internship, under mentorship. Trained the model on a dataset of over 6,000 images to improve accuracy and detection performance.

Developed and delivered over 10 websites using MERN Stack and PHP for various clients, including a school, a telemedicine platform, and other businesses. Ensured client satisfaction through effective communication and project management.

Activities and societies: Contributions to a Breast Cancer Detection ML project and the development of an E-commerce website.

Graduated with a strong skill set in software development lifecycle and OOP. Recognized for contributions to a Breast Cancer Detection ML project and the development of an E-commerce website.