Dawit Yenew Gelaye--
Addis Ababa, Ethiopia
Linkedin
Github
Profile
Motivated and versatile software engineer with expertise in backend development and AI data management.
Experienced in developing scalable solutions with Node.js, React, and MongoDB. Passionate about enhancing AI models
through accurate data annotation and system optimization.
Education
November 2019 – July 2024
Addis Ababa, Ethiopia
Bsc in Software Engineering,
Addis Ababa Science and Technology University (AASTU)
Relevant Coursework: Data Structures and Algorithms, Mobile Application
Development, Web Application Development, Database Design, Operating Systems,
Artificial Intelligence, Machine Learning.
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February 2024 –
University Twinning and Networking in UNESCO (UNITWIN)
March 2024
A certificate on Artificial intelligence and data labeling.
Professional Experience
July 2023 – August 2023
Addis Ababa, Ethiopia
Walta technologies, Backend developer intern
Collaborated with a team of six skilled individuals, where we collectively designed and
developed a fully functional eCommerce RESTful API using Node.js and the Express.js
core framework.
Implemented microservices architecture principles, ensuring clear separation of
concerns, maintainability, and scalability throughout the eCommerce API
development process.
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Implemented rate limiting to protect the API from abuse, such as brute-force and DoS
attacks, while using JWT for secure, stateless authentication of users.
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Full stack engineering
Developed an online exam and worksheet system, enabling dynamic creation and
management of exams and custom worksheets.
Implemented user registration, authentication, question banks, grading systems.
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Optimized the platform for seamless performance, enhancing the user experience for
students and educators.
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Experiance
Smart Hospital Room, Embedded Systems engineering, personal experience
Developed a hospital management system using Arduino, incorporating sensors for shock detection, wetness,
temperature, and gas monitoring.
Designed and implemented real-time monitoring for critical health and environmental parameters.
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Integrated sensor data with a centralized system to streamline hospital management and improve response times to
emergencies.
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Web based Ecommerce, Backend Engineering, internship
Led a team of six in developing a robust RESTful API for an e-commerce platform using Node.js and MongoDB.
Utilized Express.js and clean architecture principles to enhance scalability and maintainability, integrating JWT for
secure access control.
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Implemented key features including user authentication, product management, order processing, and payment
integration, creating a seamless shopping experience.
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Improved product discovery and user engagement through advanced recommendation algorithms, resulting in
significant sales growth.
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Designed system architecture and optimized performance with background tasks managed by BullMQ.
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Missing Individual Finder, Backend Engineering, Developed as part of a final project at AASTU
Implemented key features including user authentication, case management, image uploading, content hashing
Utilized the all-MiniLM-L6-v2 model from Hugging Face for description matching
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Fine-tuned the all-MiniLM-L6-v2 model on a custom dataset to improve accuracy in matching descriptions of
missing individuals with existing cases.
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Integrated face-api.js for enhanced case matching accuracy and efficiency.
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Designed system architecture, developed logic for matching status updates, and optimized background tasks with
BullMQ.
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Real-Time Sign Language Detection with TensorFlow and OpenCV, personal experiance
Built a real-time sign language detection system using TensorFlow and OpenCV.
Collected and labeled image data for model training, leveraging transfer learning for efficient model development.
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Integrated object detection for real-time gesture recognition through a webcam.
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Skills
Levels
Advanced: Javascript, Java,
NodeJs,ReactJs, mongoDB
Intermediate: SQL, Python, PostgreSQL,
Github, Git, C++, TensorFlow, OpenCv, spaCy
Beginner: Go, PyTorch
