Where I've worked

1. Associate AI Engineer

   DHL Data & AI GmbH

   Bonn, Germany

   05.2026 – 10.2026

   • GenAI
   • Document AI
   • Gemini
   • Pydantic AI
   • Multi-agent
   • React
   • MongoDB
   • RabbitMQ
   • Grafana
   • Power BI

   • Engineered data ingestion and processing pipelines for DHL's Document AI, integrating Gemini through the enterprise GenAI Gateway and using rasterized pages to improve document extraction
   • Built a Pydantic AI multi-agent system for internal-control validation, with Python orchestration, deterministic compliance checks, and agent tool calling for approved rule and template retrieval, eliminating manual audit steps
   • Developed a GenAI React web application for DHL Consulting that summarizes feedback into structured, AI-generated recommendations, from requirements analysis with stakeholders to the interactive frontend
   • Designed the MongoDB and RabbitMQ backend for the DHL Express Customs AI Agent
   • Built Grafana dashboards monitoring API costs, token usage, and errors across AI services for cost optimization and troubleshooting
   • Developed Power BI dashboards for conversational analytics, automated resolution rates, and user-flow performance of the Deutsche Post & Parcel AI voice bot (Jana)

2. Data Analyst (Part-time)

   ALTEN Technology GmbH

   Technical Direction (Back Office) · Hamburg, Germany

   08.2021 – 04.2026

   • RAG
   • Azure AI Foundry
   • Docker
   • SQL
   • Databricks
   • Fabric
   • Power BI
   • Power Platform
   • UAT

   • Built and deployed a domain-specific RAG chatbot for aircraft technical manuals, improving retrieval precision with hybrid search and semantic chunking
   • Engineered a containerized GenAI project-management platform on Azure that fills complex templates from uploaded technical documentation, cutting project initialization time by up to 60%
   • Built a centralized Power BI workforce and project analytics dashboard tracking headcount, regional FTE, and turnover for 2,000+ consultants, cutting the reporting cycle by 80% with automated Power Query M ingestion
   • Developed headcount cost simulation and trend estimation models to forecast utilization, capacity, and budget scenarios for leadership
   • Engineered ETL/ELT pipelines with SQL, Microsoft Fabric Dataflows, and Databricks (PySpark) feeding dimensional models behind 10+ business-critical dashboards
   • Enforced GDPR compliance by removing PII during transformations and configuring Row-Level Security in semantic models
   • Automated operational workflows with Power Automate and Power Apps together with HR, Finance, and Project Directors, replacing manual spreadsheet processes
   • Coordinated UAT, data reconciliation, and rollout across three+ German regions for a multi-region cost-center transformation, delivered on schedule

3. Working Student

   BASF Coatings GmbH

   Procurement Controlling & Intercompany Business · Münster, Germany

   01.2021 – 05.2021

   • Databricks
   • Neo4j
   • SQL
   • Power BI

   • Managed ETL/ELT processes on Databricks for data from various sources
   • Created a Neo4j graph database modelling chemical manufacturing processes
   • Created SQL views in an Azure SQL database

4. Intern

   BASF East Asia Regional Headquarters Ltd.

   Global Controlling, Dispersions & Pigments · Hong Kong

   05.2020 – 10.2020

   • Python
   • scikit-learn
   • Databricks
   • Spark
   • Power BI

   • Supported APAC financial closing with automated analytics views and EBIT and CAGR metrics across business units
   • Developed and evaluated scikit-learn regression models for regional sales forecasting and variance analysis
   • Built a supplier recommendation system with collaborative filtering to optimize procurement and reduce churn
   • Transformed Azure Data Lake data with Spark on Databricks and built Power BI dashboards on SAP BW

5. Intern

   BASF East Asia Regional Headquarters Ltd.

   Advanced Business Analytics · Hong Kong

   10.2019 – 03.2020

   • Python
   • NLP
   • R
   • FastAPI
   • Docker

   • Designed a TF-IDF NLP algorithm that scores and ranks candidate profiles for HR analytics, deployed with FastAPI and Docker
   • Delivered predictive analytics and sales forecasting models in R

6. Summer Intern

   Census and Statistics Department, HKSAR

   Hong Kong

   06.2019 – 08.2019

   • Python
   • SQL Server
   • Lakehouse

   • Developed Python pipelines ingesting Excel datasets into a medallion lakehouse (Bronze/Silver/Gold) on SQL Server

Education

Where I studied