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Nathnael DestaAI Engineer | Web Developer
Profile

I'm a machine learning enthusiast and developer with a strong interest in data analysis and real-world applications. I focus on building AI-driven, user-centered solutions that extract insights from data and turn them into intelligent, usable features. With a background in modern web development, I bring these ideas to life through responsive and interactive applications and games that combine ML, data insights, and great user experiences.

Professional Experience
Generative AI & Web Development Intern, Mella Technology Services LLC
  • Intern at Mella Technology Services LLC, contributing to the development of a Learning Management System (LMS).
  • Working with PHP to build and optimize backend functionalities.
  • 01/2025 – 06/2025Addis Ababa, Ethiopia
  • Collaborating with the team to enhance system performance and user experience.
  • Gaining hands-on experience in web application development and database management.
  • AI Research and Development Intern, iCog Labs
  • Contributed to AI-driven applications at iCog Labs Ethiopia, focusing on research and development in machine learning.
  • Gained hands-on experience in building intelligent systems and deep learning models.
  • 02/2025 – 05/2025Addis Ababa, Ethiopia
  • Collaborated with a team to develop innovative AI solutions.
  • Web Developer Intern, Great Commission
  • Developed applications and interfaces using Next.js and ShadCN, enhancing user experience with dynamic and responsive components.
  • Designed and implemented a comprehensive AI chatbot interface, integrating real-time interactions through WebSockets for seamless client-server communication.
  • 10/2024 – 02/2025Addis Ababa, Ethiopia
  • Built and optimized front-end systems with a focus on performance, accessibility, and smooth integration with backend services.
  • Web Developer Intern, SantimPay
  • Developed responsive websites using VueJS.
  • designed and implemented e-commerce projects
  • 06/2024 – 10/2024
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    Education
    2021 – 2025Addis Ababa, Ethiopia
    05/2023 – 09/2023Addis Ababa, Ethiopia
    Courses
    06/2024 – 07/2024
    02/2019 – 04/2019
    01/2019 – 02/2019
    06/2023 – 07/2023
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    Skills
    React
    NextJS
    VueJS
    Python
    Figma
    NumPy
    PyTorch
    Pandas
    TensorFlow
    Matplotlib
    Data Analysis
    Scikit-Learn
    Data Structures and Algorithms
    Game Development
    Webpack
    Test Driven Development
    Java
    Projects
    Empower Vision Final Year AI Project

    Built a wearable AI system that detects obstacles and provides real-time navigation assistance to visually impaired users using smart glasses.

  • Collected and labeled real-world object data for training.
  • 09/2024 – 06/2025
  • Used YOLOv11n for object detection, and trained and optimized models to run efficiently on edge devices.
  • Performed model evaluation, compression, and conversion for deployment on embedded systems.
  • Integrated the model with an ESP32-CAM for real-time inference.
  • Built a Flask backend and used WebSockets to stream predictions to a React Native mobile app.
  • Deployed the system as a complete wearable solution, enabling live feedback and navigation support.
  • Achieved an A+ grade for the project.
  • Biomedical AI Disease Classification Platform

    Built a full-stack AI application for classifying brain diseases (tumors, Alzheimer’s, strokes, Parkinson’s) from MRI and CT scans.

  • Collected, cleaned, and preprocessed medical imaging data.
  • 02/2025 – 06/2025
  • Designed and trained a custom ResNet-based deep learning model using PyTorch for multi-class image classification.
  • Performed model evaluation, tuning, and optimization to improve diagnostic accuracy.
  • Developed a React frontend for image upload and result display, and a FastAPI backend to serve the trained model via API.
  • Deployed the system for real-time use, delivering end-to-end functionality from input to prediction.
  • VERSEWise AI-Powered Biblical Chatbot

    Built an AI chatbot that answers faith-based questions with Bible-backed responses using a Retrieval-Augmented Generation (RAG) approach.

  • Developed with React, Flask, RabbitMQ, and a vector database.
  • 10/2024 – 10/2025
  • Combined semantic search with language generation for accurate, real-time answers.
  • Won HackAddis2024 and the global popular vote at Indigitous #HACK2024.
  • Dire Delivery Delivery Management Web App

    Built a Next.js 15 web application for managing logistics operations with TypeScript, JWT-based authentication, and role-specific dashboards for owners, admins, and employees. Designed with server actions, Zod validation, and ShadCN. Deployed via GitHub Actions to a live production server.

    01/2025 – 03/2025
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