Joel Larsson
Solutions Architect · Infrastructure & Applied AI
I design and build complete systems — from endpoint and networking to enterprise infrastructure, and now autonomous AI architectures. 18+ years of experience spanning IBM/AstraZeneca-scale consulting, full IT ownership as a CTO, and hands-on systems administration across the legal, healthcare and research sectors.
📍 Sweden · 🌐 Open to remote · 💬 Swedish / English
🛠️ What I work with
- Architecture & Infrastructure — end-to-end systems · Networking · Active Directory / M365 · Linux / Apache / macOS / performance & hardware tuning
- Applied AI — local LLMs · multi-model orchestration · persistent-memory architectures like making a backend system based on mongoDB with a librarian that keep the database clean and only saves the important info.
- Engineering — PowerShell · Python · C/C++ · Rust · automation · Windows internals
🔭 Featured project
OmniContext — “Persistent SRE Data Lake—a massive, specialized MongoDB graph that ingests scattered ops data and strips out the noise so any LLM can query a clean, gigabyte-scale reality of the system without hallucinating”
A self-built distributed AI architecture: one persistent, shared “mind” that any model or tool can plug into — from a CLI agent to a local llama-server model — so models build on each other’s reasoning and the system compounds over time. If you already use any graph-based memory (Neo4j/Aura), or self-directed model tiering like Constellation it’s basically just plug n play, aka. closed-loop debugging.
I started building this because in general the standard RAG sucks for SRE. When you ask an LLM to analyze Windows services, you can’t just feed it an unsorted 27,000-character text dump. OmniContext ingests any format, structures it into nodes and edges in MongoDB, and gives the LLM exactly what it needs to execute safe operational surgery.
🏆 Recognition
- Public fix accepted to Microsoft’s
intelligent-terminal(#328) - Published Chrome extension (TOTP / MFA)
- Contributor to llama.cpp-based tooling
📫 Get in touch
- 📄 CV / Resume: autom8edIT.github.io
- 💼 LinkedIn: linkedin.com/in/joel-larsson
- 📧 Email: joel.larsson@autom8ed.me