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Abbas Al-FartwsiAA

Abbas Al-Fartwsi

Senior AI Engineer — RAG & LLM | Azure Databricks

€1,050/day
Hamburg, DE
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Abbas

I build production-ready RAG and LLM systems — from data architecture to ongoing, GDPR-compliant operation.

As a Senior AI Engineer, I take on AI projects from concept to production. Not a prototype that shines in the demo and fails in operation — but systems that remain stable, verifiable, and maintainable.

What I deliver:
• RAG Architectures: Hybrid retrieval, vector databases, embedding pipelines, re-ranking, hallucination verification
• LLM Deployment: vLLM, local & cloud models, fine-tuning (QLoRA), GPU inference optimization
• Azure Databricks End-to-End: Data pipelines, MLflow, Databricks Asset Bundles (DABs), GitLab CI/CD
• Backend: FastAPI, agent pipelines, multi-stage verification

What makes me special: I specialize in sovereign, GDPR-compliant AI — local and on-premise solutions for regulated industries where cloud is not an option. Exactly where data protection and traceability are crucial.

I work independently and result-oriented: clear briefing in, runnable system out.

Remote from Hamburg · German & English.
  • German

    Native or bilingual

  • English

    Conversational

  • Arabic

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • NeuroTresor Holding LLC
    Founder & Lead AI Engineer
    January 2025 - Today (1 year and 5 months)
    Building a GDPR-compliant, locally hosted AI platform for German professional service providers.
    • Conception and development of a production RAG architecture with over 244,000 routeable chunks and 456 collections (ChromaDB, PostgreSQL reference graph)
    • Implementation of hybrid retrieval (BM25 + vector search) with RRF fusion and bge-reranker-v2-m3 reranking; Recall@5 increased from 26% (V1) to 88% (V2)
    • Multi-GPU deployment on own infrastructure: 4× RTX 5090 (128 GB VRAM total), Gemma 4 26B AWQ-4bit via vLLM-fast, bge-m3 + snowflake embeddings via Ollama
    • Section-aware chunking strategy with LLM-based tagging for complex German legal documents (BGB, StGB, HGB, Bundestag-Drucksachen)
    • Development of an evidence-based verification agent (VIKTOR) to reduce hallucinations in legal answers
    • Fine-tuning pipeline on H200 NVL infrastructure (Vast.ai) with LoRA, eval-loss-driven optimization, and independent reviewer model
    • CI/CD setup with Docker, Systemd services, automated backups (Borg), and health monitoring; Cloudflare Tunnel for secure external endpoints
    • Full-stack development: FastAPI backend (21 endpoints), Next.js frontend, progressive web app with PDF export and feedback loop
    AI / LLM ML / Data Science Vector / Retrieval: Data Engineering Backend / Infra
  • Kunden DACH-Region
    Freelance IT Service Provider
    January 2017 - January 2024 (7 years)
    • Development of individual web and mobile applications for SME and startup clients (frontend with modern JavaScript stacks, backend in Python and Node.js)
    • Initial integration projects with Large Language Models and AI APIs (OpenAI, Anthropic) for customer support automation and content workflows
    • Conception and implementation of corporate websites and landing pages with a focus on performance, responsive design, and SEO best practices
    • Management of social media channels and creation of content strategies for local businesses
    • Planning and optimization of Google Ads and Meta Ads campaigns (SEA / Performance Marketing) with continuous A/B testing
    • IT Administration: Server setup (Linux), backup concepts, domain and email management, security audits for small businesses

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Education

  • IT Specialist System Integration
    IHK
    2017
    Fachinformatiker Systemintegration

Skill set

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