ENGINEER
Description
I build multi-agent systems and LLM-powered products: Claude Agent SDK and MCP orchestration, retrieval pipelines, fine-tuning and evaluation, shipped on Cloud Run and Azure.
Hello, I’m
FETHI
OMUR
Forward Deployed
Forward Deployed AI Engineer, AI Architect, AI Designer
About Me
AI Engineer building multi-agent systems and LLM-powered products with the Claude Agent SDK and MCP, grounded in deep learning. Always up for AI research collaborations.
WHAT
I DO
DEPLOY
Description
I ship what I engineer — a solo-built iOS app on a live 3D globe, a Flutter app live on the App Store, and web products that stay up.
Skills & tools
My journey &
experience
AI Engineer
Neurolanche X Labs
2024
Automated the data pipelines behind LLM fine-tuning with REST APIs and containerised microservices, and served quantised models on Azure AI and AWS.
Advanced AI Data Trainer
Outlier
2025
Fine-tuned LLMs alongside AI researchers, ran systematic reasoning and grading evaluations, and built the augmentation and quality-control pipelines behind them.
AI & Full-Stack
Developer
SmartCreative SRL
2026
Moved the design-to-code workflow onto Figma MCP end to end, cutting frontend delivery from days to hours, and built the agentic workflows around the rest of the process.
Open to
opportunities
Available
NOW
Put me on your team and I’ll ship the AI your customers actually need.Hire me
My Work
RouteRush
Territory running app, built solo and live on the App Store: close a loop and the streets inside become yours.
Tools and features
- SwiftUI
- Mapbox 3D globe
- Boldi AI coach
Map data © Mapbox © OpenStreetMap
Fethiverse
Nine specialised agents research, write, illustrate and review content end to end, across 60+ MCP tools.
Tools and features
- Claude Agent SDK
- MCP
- Python
- TypeScript
The Faculty
Specialised agents turn source PDFs into exam questions, and a cross-model validator checks every item.
Tools and features
- Python
- Gemini
- ChromaDB
- RAG
- Cross-model eval
- pytest
AI Tutor
Italian-language RAG assistant, live on the University of Ferrara course pages, answering with cited sources.
Tools and features
- TypeScript
- Fastify
- React 19
- Gemini
Admissions RAG
An agentic crawl extracts admission rules with evidence checks, feeding a chatbot that cites its sources.
Tools and features
- Firecrawl crawl
- Gemini extraction
- pgvector
- FastAPI
LLMetric
Tracks and compares LLM benchmark results, with an AgentQL scraping pipeline that keeps the data current.
Tools and features
- Next.js
- TypeScript
- Supabase
- Recharts
- AgentQL
My Tech Stack
- Claude
- MCP
- OpenAI
- Gemini
- Python
- PyTorch
- Next.js
- Docker