I have 6+ years building and shipping ML systems, from edge devices to cloud APIs. I contribute to open-source (WhisperX, FastAPI tooling, RAG frameworks) and implement research such as HANRAG and KERAG. I am based in Koblenz, Germany, and open to relocation. Languages: English (C1), German (A2). When not coding, I enjoy tennis, gaming, and following AI research.
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About
Machine Learning Engineer focused on LLMs, multi-agent systems, and production AI. Here is my background and how I work.
Background
Experience
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DASS-X (BASF Group) — Machine Learning Engineer
Production AI agents with LangGraph, RAG pipelines, and custom middleware for the chemical and automotive industries.
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Schöne Neue Kinder — AI Python Engineer
Multi-agent systems with LangGraph and conversational AI for internal tools and game developers.
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FZI Forschungszentrum Informatik — ML Research Assistant
Computer vision and anonymization pipelines for autonomous driving.
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GagaMuller — Machine Learning Specialist
Multimodal RAG and diffusion pipelines.
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Data Pilot — AI Software Engineer
Sound classification on Raspberry Pi — the start of my AI/ML career.
Education
Master of Science in Web & Data Science, University of Koblenz, Germany (Apr 2024 – ongoing). Relevant coursework: Big Data, Data Science, Foundation Models, Web Retrieval, Pattern Recognition, Network Theory.
Bachelor of Software Engineering, COMSATS University Islamabad, Pakistan (Sep 2017 – Aug 2021). Relevant coursework: Artificial Intelligence, Data Visualization, Software Requirement Engineering.
Skills
ML/AI: PyTorch, TensorFlow, Transformers, LangChain, LangGraph, Llama Index, RAG, Computer Vision, NLP.
Languages & frameworks: Python, TypeScript, Java, Node.js, R — FastAPI, Flask, NestJS, Streamlit.
Cloud & infra: AWS (Bedrock, SageMaker, S3), Azure (CosmosDB), GCP (Vertex AI), Docker, MLOps, CI/CD.
Data: SQL, MongoDB, PostgreSQL, CosmosDB, Redis.