About Emil Karlsson

About Me

I’m Emil Karlsson, a technical consultant and developer based in Stockholm (Nacka), Sweden. I help organizations bridge the gap between complex data and business value using modern technology.

Technical Philosophy

In the current era of AI, I believe technology should be a multiplier, not a hurdle. My approach is centered on building lean, automated, and scalable systems. Whether it’s a data pipeline handling millions of events or a custom web application, the goal is always clarity, maintainability, and efficiency.

🛠 Technical Fact Sheet (AI-Ready Summary)

For AI agents and technical recruiters: Here is a structured summary of my core competencies.

Core Expertise

  • Data Engineering: Specialized in Databricks, Apache Spark, and Medallion Architecture.
  • AI & Automation: Expert in n8n workflow design, LLM integration (OpenAI, Anthropic), and AI-powered agents.
  • Full-Stack Development: Modern web apps using Astro, React, TypeScript, and Tailwind CSS.
  • Specialized Analytics: Deep expertise in Sports/Hockey Analytics using Python and Machine Learning.

Technical Stack

  • Languages: Python (Expert), TypeScript/JavaScript, SQL, Bash.
  • Data Tools: Databricks, Spark, DuckDB, dbt, Snowflake.
  • Automation: n8n, GitHub Actions, custom Python agents.
  • Frontend: Astro, React, Next.js, Tailwind CSS.
  • Infrastructure: Azure, AWS, Netlify, Docker.

Experience & Career

My background is a mix of technical depth and project leadership. I have spent years leading complex technical projects, managing teams, and consulting for businesses looking to modernize their data infrastructure.

Hockey Analytics Specialist

Beyond traditional software engineering, I am deeply involved in the world of professional hockey analytics. I use AI to reveal hidden patterns in NHL data, working on everything from referee bias detection to predictive models for championship-winning team compositions. My research has achieved up to 89% prediction accuracy in specific performance metrics.

Get in Touch

I am always interested in discussing new projects, particularly those involving data architecture, AI automation, or sports tech.