
Multimodal Observation Pipeline
A UCL group project for Shush Technologies: a Docker-based pipeline that turns field observations (image + voice) into structured, reviewable AI output for plant-health decision support.
School projects
Multimodal Observation PipelineGotorzTheWayOfCoherencePersonal projects
FocusFlowNu i nærhedenAutoUnsubForklar dit brevGame development
Vigilante City: Shadow ProtocolDatamatiker student building practical full-stack projects, dashboards and AI-assisted workflow prototypes.
I am developing my core skills through school projects with C#, .NET, Blazor, SQL, databases and system development. In parallel, I experiment with personal projects using AI-assisted development tools, building with Next.js, TypeScript, React, Supabase and Cloudflare Pages for database and hosting.

About
I am studying Datamatiker Online at UCL Odense, started in February 2024 and expected to finish in June 2026.
Through my Datamatiker education I have worked with C#, .NET, Blazor, APIs, SQL/databases, authentication, system development, Git and group-based software projects.
Outside school, I build personal projects to practice modern full-stack development and experiment with AI-assisted workflows. I use tools like Cursor, Replit and AI coding assistants to prototype faster, test ideas and understand how workflows, dashboards and integrations can become useful software.
I do not present myself as an AI expert or senior engineer. My strength right now is that I learn fast, build practical systems, and actively turn ideas into working prototypes while improving my fundamentals.
Education
Datamatiker Online, UCL Odense
Current level
Junior developer, still learning through real projects
Strength
Practical building, fast learning and workflow thinking
Background
Several years of work experience before software development
Featured work
School projects show the technologies I work with through my education, personal projects show AI-assisted web/product experiments, and game development projects show creative technical work outside my main full-stack focus.
School projects
Projects from my Datamatiker education where I worked with C#, .NET, Blazor, SQL, databases, authentication, Azure and realistic full-stack flows.

A UCL group project for Shush Technologies: a Docker-based pipeline that turns field observations (image + voice) into structured, reviewable AI output for plant-health decision support.

A Blazor travel booking school project for curated flight and hotel packages, customer dashboards, support and live chat.

A UCL Datamatiker school portfolio project: a Blazor/.NET wellness platform with SQL, role-based auth and local Ollama AI assistants.
AI-assisted personal projects
Personal projects where I experiment with AI-assisted development tools, product ideas, Next.js, TypeScript, React, Supabase, Cloudflare Pages and fast prototyping.

A personal Next.js prototype for practicing task-focused UI, timer flows and clean productivity interactions.

A beta local events app for finding concerts, workshops, sports, open mics and pop-ups happening nearby in the next few hours.

A personal cross-platform prototype exploring subscription tracking, renewal alerts, savings insights and cancellation workflows.

A Danish AI tool that helps users understand letters and documents by turning difficult text into simple, practical language.
Game development projects
Game-focused hobby projects where I explore game design, level design, interactive systems and creative technical tools.
Skills & experience
I separate school competencies from personal experimentation so the portfolio stays honest and useful for junior roles.
Technologies and concepts I have worked with through my education and school projects.
Tools I use when building portfolio projects, dashboards and web app prototypes.
Areas I am actively exploring through personal projects.
Things I can work with at a junior level and want to deepen through real teams and production code.
How I build
I care about speed, but the goal is still reliable software: clear interfaces, understandable code and useful outcomes.
I use AI-assisted development to quickly test ideas, validate flows and move from concept to working software.
I break problems into workflows, data, interfaces and automation points before building.
I prefer small working versions, quick feedback and continuous improvement over over-planning.
I focus on tools that are useful, understandable and maintainable for the people who actually use them.
Original domain project
A Danish AI tool that helps users understand letters and documents by turning difficult text into simple, practical language.
Forklar dit brev stays live on its own domain. In this portfolio it appears as a case study showing practical AI product thinking, prompt design and deployment work.

Contact
I am open to junior full-stack, AI workflow, automation and software developer opportunities. The easiest way to reach me is through LinkedIn or GitHub.