Über Zubair
Zubair in a few words
AI-focused software engineer combining full-stack development with backend and DevOps skills. I design and build Agentic LLM-integrated systems that solve real-world problems, from document intelligence to knowledge graph-powered assistants.
What I Do
AI Engineering (LLM, RAG, Agentic AI, Knowledge Graphs)
Build context-aware pipelines with LangChain, LlamaIndex, Pi Agentic frameworks and OpenAI integrated with Neo4j, PostgreSQL or ChromaDB for scalable, low-latency retrieval.
Backend Architecture
Design Python backends with FastAPI and Django using clean, testable architectures such as Agile or MVC and service layers, along with real-time interfaces.
Deployable, Production-Ready Systems
Package microservices with Docker, deploy to AWS, automate with CI/CD tools like GitLab and Jenkins, and document with OpenAPI and Sphinx.
Tech Stack
Python • FastAPI • Django • ReactJS • Neo4j • LangChain • Pi Agent • OpenAI • Docker • GitLab CI • AWS
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Grundkenntnisse
Vor Ort möglich
Paderborn (bis zu 50 km)
Projekt- und Berufserfahrung
- Fraunhofer IEMApplied AI EngineerJuni 2024 - Heute (2 Jahre und 2 Monate)Full-stack AI engineer focused on Agentic AI, LLM apps, RAG pipelines, and scalable backends. I’ve delivered production-ready systems at Fraunhofer using FastAPI, Neo4j, LangChain, and React, reducing onboarding, compliance, and search times across industrial AI projects.
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Ausbildung und Abschlüsse
- Master In Computer ScienceUniversität Paderborn
- Cloud Computing SpecializationAl-Khawarizmi Institute of Computer Science UET2021Cloud Computing Specialization