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Emil N. - Fullstack Developer, React Native, nextjs

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    2 years

  • TypeScript

    1 Year

  • Python

    1 Year

  • Django

    1 Year

Additional skills

  • TypeScript
  • Python
  • Django
  • JavaScript
  • React
  • Next.js
  • API Integration
  • Bootstrap
  • API Development
  • Tailwind CSS
  • Python Script
  • IT Project Management
  • tailwindcss
  • React Native
  • nextjs

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Experience Highlights

OpenAI / LangChain Chatbot Built Using Django and Next.js

This project makes it easy to integrate ecommerce stores with OpenAI, making it possible for users to chat with the store-content, such as projects. This is how it works: - Store owner add their API keys (WooCommerce, Magento etc). - Django parses all products - Calls OpenAI and creates embeddings - The embeddings are stored in Pinecone vectorstore - Store owner adds a script to their store - The script is connected with the Django backend - Users can now chat with the products

Education

  • Aarhus University @ Herning, Denmark

    Bachelor of Engineering (BEng) in

    2011-01-01-2016-01-01

Languages

  • Danish
  • English

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