Hi, my name is
Alix Muller.
I build intelligent systems.
I architect multi-agent AI systems that ship to production. Recently cut app development time by 85% with LangChain/LangGraph pipelines at scale.
About Me
I went from leading high-stakes industrial teams to ranking top 3% at École 42 - then spent the next 3 years shipping production AI systems in Seoul and Paris.
I specialize in LLM integration, RAG architectures, and multi-agent pipelines. Most recently I cut app development time by 85% at AppBuildChat with a LangChain/LangGraph pipeline.
Outside of AI engineering I write chess engines in Python and kernels in Rust.
How I Work
My Experience
AI Engineer & Architect
Architected end-to-end AI automation pipeline for a no-code app development platform, reducing human development time by 85%.
Key Achievements
- Designed multi-agent LangChain/LangGraph workflow: PRD generator, sprint planner, Flutter code scaffolding, pseudocode-to-code, and automated testing agents
- Developed MCP servers, custom agent tooling, and FastAPI backend services for containerized pipelines with per-sprint Git pushes
- Reduced application development time from 40 hours to 6 hours per application over 6 months
Technologies
AI & Software Engineer
Designed and deployed LLM-powered features from prototype to production, implementing RAG architecture with vector databases for an enterprise AI workflow platform.
Key Achievements
- Deployed 3 LLM-powered features serving 10K+ daily requests with <2s latency using RAG and vector databases
- Translated high-level business requirements into technical specifications for AI workflow IDE used by 50+ enterprise clients
- Built an IDE tool for complex AI workflows with state management, visual pipeline design, and real-time execution monitoring
Technologies
Mobile App Reverse Engineer
Led technical analysis of mobile applications, specializing in API security assessment and vulnerability research.
Key Achievements
- Developed automated tools for API endpoint discovery and documentation from decompiled application code
- Handled sensitive investigative data under law enforcement protocols, building GDPR-compliant secure pipelines
Technologies
Technical Team Lead
TICE Industries
Led cross-functional teams of 3-4 in high-risk environments, delivering 15+ industrial installations on time with zero safety incidents.
Key Achievements
- Managed complex fluid network deployments in petrochemical and food processing industries
- Ensured QHSE compliance while managing evolving specifications across critical infrastructure projects
Technologies
My Projects
Education
École 42 Paris
Top 3%Software Engineering
2022 - 2025
Peer-evaluated
100%
Rank
Top 3%
Curriculum
Project-based
Highlights
- Ranked top 3% of students (peer-evaluated)
- Project-based curriculum: no lectures, no professors
- Notable projects: x86 kernel (Rust), custom IRC server, 3D rendering engine
- Mastered systems programming through 42's rigorous project pipeline
What People Say
Alix far exceeded expectations and became one of our project's key contributors. He possesses a rare and valuable combination of skills, deep familiarity with AI model integration, workflow system development, and platform extensibility. I am confident he would be an asset to any organization working at the forefront of AI innovation.
Writing
From Screenplay to Storyboard with DSPy
How I used DSPy, GEPA optimization, and GPT-5 to turn a raw screenplay into a fully structured visual storyboard with reusable, linked assets.
How I Turned a 40-Hour App Factory Into a 6-Hour One
The story of how I dissected an entire app development pipeline, and built a multi-agent AI system that changed everything.