I architect enterprise AI systems with 5+ years of experience in GenAI, multi-agent systems, and scalable AI solutions on AWS, Azure, and GCP.
I'm a Senior ML/AI Engineer with over 5 years of experience architecting enterprise AI systems across the automotive, industrial tech, and logistics sectors. I specialize in Generative AI (GenAI), multi-agent systems, LLMOps, and scalable AI architectures on AWS, Azure, and GCP.
I've led cross-functional engineering teams, delivered patented AI products, and generated over €300K in annual cost savings through AI-driven automation and system modernization. My work combines hands-on engineering, deep AI knowledge, and a passion for building AI solutions that make a measurable impact.
Currently based in Berlin, I hold an M.Sc. in Computer Engineering from TU Berlin with a GPA of 1.0, and I'm multilingual, speaking Arabic, English, German, Turkish, and French.
Master's Thesis (Grade 1.0): Combined LLMs with internet retrieval and uncertainty modeling to reduce hallucinations.
Industry 4.0 solution using eBPF & XDP for sub-millisecond detection latency across multi-cloud environments.
Multilingual chatbot for e-commerce, providing personalized book recommendations and order tracking.
Implementation of the BERT-based sequential recommendation system for personalized content suggestions.
Private cloud infrastructure using Kolla-Ansible on Google Cloud Platform with performance benchmarking.
Research on security vulnerabilities in AI-based operations, testing defense mechanisms against adversarial examples.
Leading advanced AI consulting projects, focusing on enterprise GenAI solutions and multi-agent system architectures for DAX 40 clients. Deployed AI agents on Kubernetes for DHL, reducing tech debt resolution by 60%. Co-designed production-ready multi-agent orchestration platform.
Led modernization of Porsche's vehicle diagnostics system (150K+ requests/day, €300K/year savings). Improved BMW's in-car recommender system using LLMs for contextual personalization. Built RAG pipelines for 500+ page documents deployed via Azure AI Studio.
Led the design and implementation of a patented semantic search solution in a cooperation with major research centers
Delivered public IT sector web apps with advanced data visualizations (React, D3.js). Led a patented semantic search engine project with CI/CD and secure cloud deployment.
Microsoft Azure
Google Cloud
DeepLearning.ai
The Linux Foundation
Microsoft
Amazon Web Services