About Me
I’m Niklas Norinder, an AI and Audio Engineer based in Stockholm.
Technical Skills
- Languages: Python, TypeScript, JavaScript, SQL.
- Frameworks & Tools: React, Next.js, FastAPI, Node.js, Supabase, GCP.
- AI/ML: Agentic workflows, LLM Ops (RAG, LangChain, Google ADK), PyTorch, scikit-learn.
- Audio: Mixing, Mastering, Production - mainly using Ableton Live.
Experience
AI Engineer @ Soundtrack 2026 - Present
- Building full-stack internal AI tools to increase both technical and non-technical team velocity.
- Architecting agentic workflows and integrating LLM features directly into our systems.
- Creating and maintaining an in-house agentic eval suite.
Product Analyst @ Soundtrack 2024 - 2026
- Data-driven product strategy.
- Analyzing A/B tests.
- Started dipping my toes in early internal LLM tooling and pipelines.
Freelance Music Producer @ Self-Employed 2015 - Present
- Mixing and mastering music with over 20 million streams across platforms.
- Loxell - IMPULS (mixing, mastering, production)
- Korpen - Korpen (mixing, mastering, additional production)
- More music in my prod and mix playlists!
For a full list of my experience, feel free to check out my LinkedIn.
Projects
Bonfire-cli A TypeScript CLI that prevents context loss in AI-assisted development by saving and restoring the agent's workspace progress.
Kalorindex A grocery database designed to find the highest protein-to-calorie foods. Built with a custom Python scraper and a React/Supabase frontend.
Aloqe A semantic matching platform that uses Transformers to align CVs with job descriptions, backed by a PDF ingestion pipeline for structured document parsing.
Education
M.Sc Sociotechnical Systems Engineering @ Uppsala University 2018 - 2023
- Master's thesis: "Sublimation temperature prediction of OLED materials, using machine learning"
Other stuff
- Languages: Fluent in Swedish, English, and Japanese (JLPT N2).