Solution Architect with 10+ years of experience in enterprise IT architecture, project delivery, and technical leadership. Currently building AI-powered solutions for software development teams.
AI/ML: LiteLLM, RAG, Prompt Engineering, Vector Search (Qdrant), LLM Quality Gates, Pydantic Schema Validation
Languages: Python, Java, TypeScript
Cloud & Infra: Docker, FastAPI, Angular, Qdrant, Prometheus, Grafana
Architecture: C4 Model, Arc42, TOGAF, iSAQB
| Project | Description |
|---|---|
| SDLC Pilot | AI-powered SDLC automation — analyzes codebases, generates architecture docs (C4/Arc42), plans development work. 9-phase pipeline, 745+ tests, on-premises ready. |
- Pipeline+LLM over Multi-Agent: Why single LLM calls beat agent loops (0% loops, 2x faster, 3x fewer tokens)
- Evidence-First RAG: Why LLMs should never guess about code — deterministic facts first, LLM synthesis second
- Template-First Documents: How to eliminate hallucination with deterministic skeletons + controlled LLM enrichment
- On-Prem AI: Running LLMs, vector stores, and observability entirely on your infrastructure
- Email: aymen@aymenmastouri.io