Designed and developed a comprehensive AI assistant for document and database Q&A, summarization, and rewriting. Utilized Vue for the frontend and FastAPI with LlamaIndex for the backend. Created and maintained the supporting infrastructure for the application.
A command line tool for transferring liked tracks, albums, artists, and playlists between Tidal accounts. This tool allows users to seamlessly migrate their music preferences and collections from one Tidal account to another. By using this tool, users can avoid the manual process of re-liking tracks, albums, artists, and playlists. It supports the authentication of multiple Tidal accounts, securely transferring the user's data while preserving the original structure and metadata of the music library.
PandaQ is an SQL interpreter based on Pandas. The interpreter offers a simple web interface, through which you can make queries and visualize the results. It leverages the powerful data manipulation capabilities of the Pandas library to perform SQL-like operations on data. Users can input SQL queries via the web interface, and the interpreter translates these queries into Pandas operations. The results of the queries are then displayed in a user-friendly format, making it easy to analyze and understand the data.
I'm a computer engineer specializing in AI and autonomous systems, currently pursuing my MSc at the Technical University of Denmark. I build intelligent applications that combine machine learning with practical software engineering, from AI-powered document assistants to predictive neural networks.
My work spans full-stack development with a focus on creating systems that actually work in production. I'm driven by curiosity and the challenge of turning complex problems into elegant solutions.
C++
C#
Python
JavaScript
TypeScript
Java
React
Vue.js
Svelte
Next.js
Linux
Git
Docker
AWS
Azure
Vercel
Google CloudHave a project in mind or want to collaborate? I'd love to hear from you. Feel free to reach out through any of the channels below.
