Daniel D. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Daniel D. Backend, AI and General Development

My name is Daniel D. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: FastAPI, Flask, Python, Django, API Integration, etc.. I hold a degree in Bachelor's degree, Bachelor of Applied Science (BASc). Some of the notable projects I’ve worked on include: Ethiopic Bible REST API with FastAPI, Face Recognition Web App with Flask and OpenCV. I am based in Addis Ababa, Ethiopia. I've successfully completed 2 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Backend, AI and General Development

    2 years

  • FastAPI

    1 Year

  • Flask

    1 Year

  • Python

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Kifiya Financial Technology

Ready to get matched with vetted developers fast?

Let's get started today!

Hire Remote Developer

Experience Highlights

Ethiopic Bible REST API with FastAPI

Built a RESTful API using FastAPI to serve the Ethiopian Bible in multiple languages, including Amharic. The API provides structured access to books, chapters, and verses, making it easy for developers to integrate Biblical content into apps, websites, or digital platforms. The project emphasizes clean architecture, multilingual support, and efficient data retrieval.

Face Recognition Web App with Flask and OpenCV

Developed a simple and interactive web application using Flask and OpenCV that performs real-time face recognition directly from webcam input. The goal was to create a user-friendly system that captures and identifies faces using local image datasets. This project showcases my ability to integrate computer vision with web development for practical AI applications.

Education

  • Addis Ababa University

    Bachelor's degree in Software engineering

    2021-01-01-2024-01-01

  • international university of applied sciences

    Bachelor of Applied Science (BASc) in Applied artificial intelligence

    2024-01-01-2027-01-01

Languages

  • Amharic
  • German
  • English
  • French

Personal Accounts