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Egide N. - Fullstack Developer, React Native, nextjs

At Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.

Main technologies

  • Fullstack Developer

    5 years

  • Python

    2 Years

  • FastAPI

    3 Years

  • Flask

    4 Years

Additional skills

  • Python
  • FastAPI
  • Flask
  • Django
  • DevOps
  • PostgreSQL
  • Software Testing
  • Docker
  • React
  • Data Science
  • Kubernetes
  • Machine Learning
  • Angular
  • TypeScript
  • Test-Driven Development
  • React Native
  • nextjs

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Potentially possible

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Experience Highlights

Function Health

Function is an annual subscription designed to serve people across their lifetime.

Diagnostics Platform

- Contributed to the frontend and the backend of Insightiv Diagnostics Platform, a Hybrid teleradiology platform for medical imaging diagnostics and research. - Led the development of version control for machine learning models and predictions, which allows data scientists and machine learning engineers to deploy machine learning models and interact with the deployed models using dynamically generated REST APIs. - Write testable, reusable, performant, and efficient code for the platform.

Fantasy Playpostseason

- Implemented a scalable Kubernetes cluster managed by Amazon EKS. - Orchestrate the deployment, scaling and management of Docker containers. - Worked on designing and developing the system in Python using Django MVC modules. - Developed Restful Microservices using Django and deployed on AWS servers using EBS and EC2. contributed to the design and creation of RESTful APIs. - Created a wide variety of unit tests to verify the functionality of system.

Education

  • University of Rwanda College of Science and Technology

    Bachelor of Engineering (BEng) in Computer engineering

    2017-01-01-2021-01-01

Languages

  • English
  • French