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Nathnael DestaAI Engineer | Web Developer
Profile

I'm a AI Engineer and Web 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
AI Backend Engineer, projetsolaire⁠

• Built a Spring Boot AI microservice for summarizing MongoDB-backed solar project data for internal teams and installers.

• Engineered LLM-driven summary pipelines to flag risks, blockers, missing documents, and next actions across project workflows.

11/2025 – 03/2026

• Developed document AI features with PDF parsing, OCR fallback, caching, and AI summaries to reduce manual compliance review.

• Integrated Kafka-based invalidation and Dockerized deployment workflows for scalable, reliable AI processing.

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.
    • 04/2025 – 08/2025Addis Ababa, Ethiopia
  • •Collaborated with a team to develop innovative AI solutions.
    • Generative AI Engineer, Mella Technology Services LLC
  • •Architected and managed the GenAI pipeline for video content creation integrating external GenAI tools and APIs.
  • •Engineered sophisticated LLM prompts and parameters to generate accurate video scripts, narration, and synchronized module summaries.
    • 01/2025 – 06/2025Addis Ababa, Ethiopia
  • •Applied Agile/DevOps principles, ensuring reliable, scalable deployment of LLM-powered services, including model versioning and API testing.
    • 1 / 3
    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
    Education
    Electrical and Computer Engineering, Addis Ababa University⁠

    GPA:- 3.69

    2021 – 2025Addis Ababa, Ethiopia
    Associate AI Engineer for Developers, Datacamp⁠
    05/2025 – 09/2025
    01/2025 – 06/2025
    Data Analyst in Python, Datacamp⁠
    06/2025 – 09/2025
    08/2024 – 11/2024
    Full Stack JavaScript, The Odin Project⁠
    07/2023 – 09/2024
    Cisco CCNA Networking, Cisco, AAU⁠
    05/2023 – 09/2023Addis Ababa, Ethiopia
    Courses
    Sequence Models⁠, Stanford University, Coursera
    05/2025 – 06/2025
    Convolutional Neural Networks⁠, Stanford University, Coursera
    03/2025 – 04/2025
    Structuring Machine Learning Projects⁠, Stanford University, Coursera
    03/2025 – 03/2025
    Neural Networks and Deep Learning⁠, Stanford University, Coursera
    01/2025 – 02/2025
    Advanced Learning Algorithms⁠, Stanford University, Coursera
    08/2024 – 09/2024
    Supervised Machine Learning⁠, Stanford University, Coursera
    07/2024 – 08/2024
    08/2024 – 09/2024
    01/2023 – 05/2023
    06/2024 – 07/2024
    05/2023 – 08/2023
    Python Core⁠, Sololearn
    02/2019 – 04/2019
    2 / 3
    Skills
    Langchain
    NumPy
    N8N
    PyTorch
    Matplotlib
    Pandas
    TensorFlow
    Prompt Engineering
    Data Analysis
    React
    Conversational AI
    Python
    GenAI
    NextJS
    Scikit-Learn
    Golang
    Figma
    VueJS
    DSA
    Postgres
    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 FastAPI 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.

    • 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.

    • 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.

    • Built a Next.js 15 web application for managing logistics operations.

  • •Developed with TypeScript, JWT-based authentication, and role-specific dashboards for owners, admins, and employees.
    • 01/2025 – 03/2025
  • •Designed with server actions, Zod validation, and ShadCN.
  • •Deployed via GitHub Actions to a live production server.
    • 3 / 3