Professional Overview
AI engineer with 4+ years in data systems, currently building LLM applications on enterprise data at Deutsche Telekom Digital Labs. My current project is an LLM analytics assistant that turns natural language into SQL and then into insights (in pilot). I built its query-routing orchestrator, which classifies intent, flags PII, rewrites follow-ups and routes each question to the right data domain. I also built RAG retrieval on Milvus (embedding-based table search, table pruning and prompt assembly), Gemini text-to-SQL with SELECT-only guardrails and retries across Athena, Redshift and Iceberg, and an insight pipeline where the LLM picks the chart type while deterministic code fixes ordering. I developed a Metabase agent using MCP that automates KPI anomaly reports, and FastAPI integrations with Collibra, GitLab and BigQuery. Before this, I spent 2.5 years as a remote data engineer at Sixer (Dream Sports): executive dashboards for leadership, a Python trading automation with compliance validation, and n8n notification workflows that lifted user engagement 15%. Core stack: Python, SQL, FastAPI, Gemini, OpenAI APIs, RAG, MCP, Milvus, GCP, AWS, Docker.
Experience
Employment Type
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
