I'm a Software Engineer with an MSc in Software Engineering, actively building expertise in AI engineering focused on LLM applications, RAG systems, and agentic AI workflows.
My background in Python backend systems, cloud infrastructure (AWS, GCP), and API development gives me a strong foundation for building production-grade AI applications not just prototypes.
babar = {
"focus": ["LLM Applications", "RAG Systems", "AI Agents", "MLOps"],
"stack": ["Python", "LangChain", "FastAPI", "Docker", "AWS/GCP"],
"llms": ["OpenAI GPT-4", "Anthropic Claude", "Mistral", "Llama 3"],
"databases": ["Pinecone", "Qdrant", "ChromaDB", "PostgreSQL", "Redis"],
"currently": "Building production RAG systems and multi-agent architectures",
"open_to": "AI Engineer · LLM Developer · ML Engineer roles (EU / Remote)",
"location": "Vienna, Austria 🇦🇹",
}
| Project | Description | Stack | Demo |
|---|---|---|---|
| basic-rag | RAG pipeline document indexing, vector search, LLM-grounded Q&A | Python · ChromaDB · OpenAI | Live → |
| Lostify | Lost & found platform for universities realtime matching & notifications | Next.js · Supabase · PostgreSQL | Live → |
| AI Resume Analyzer | Upload resume + JD, get match score & rewrites | FastAPI · OpenAI · Pydantic | Building |
| Multi-Agent Research Assistant | LangGraph agents searching, analyzing & reporting | LangGraph · Claude · Tavily | Building |
🔨 Currently building: Advanced RAG system with reranking, evaluation (RAGAS), and a live web UI. Coming to GitHub soon.
- Advanced RAG HyDE retrieval, cross-encoder reranking, RAGAS evaluation
- AI Agents LangGraph multi-agent patterns, tool use, memory architectures
- LLM Fine-Tuning LoRA / QLoRA with HuggingFace PEFT on open-source models
- MLOps MLflow experiment tracking, DVC, CI/CD pipelines for ML
I'm open to AI Engineer, LLM Developer, and ML Engineer roles across the EU/DACH region and remote.
If you're building something interesting in the AI space or want to talk RAG architectures, agent design patterns, or anything LLM-related, reach out.
