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Project Experience

A showcase of successful cloud engineering and AI implementations

Logistics Optimization System

Freelance | Jun 2025 - Present
  • Developed a high-availability, distributed system for optimizing and planning logistics processes in container terminals.
  • Successfully implemented a modular microservice architecture on AWS, communicating via event-driven message queues.
  • System performance and reliability were ensured by dedicated, long-running optimization workers (solvers).
  • The entire infrastructure is managed using Terraform (IaC), ensuring consistent and repeatable deployments across different environments.
Python (AsyncIO, FastAPI, Pydantic) AWS (ECS, SQS, S3, API Gateway, Lambda) Terraform Docker Bitbucket Pipelines Pytest Ruff PostgreSQL

LLM-based Exam Question Generation System

Independent Project | Mar 2025 - May 2025
  • Developed a highly efficient, asynchronous system for automatically generating exam questions from medical case texts using Large Language Models for medical education.
  • Successfully implemented a modular Python backend with asynchronous API communication, reducing request processing time by ~90%.
  • The architecture enables robust error handling, easy extensibility, and consistent quality of the generated exam questions.
  • The generated questions are categorized and stored in a relational database.
  • The system is currently under further development with a focus on the user interface with React.
Python (AsyncIO, FastAPI, Pydantic) LLM Integration (OpenAI API) SQLAlchemy (ORM) Git PostgreSQL

Flask Web Application Development

Independent Project | Jan 2025 - Feb 2025
  • Developed a scalable, containerized web application using Flask for efficient content management
  • Implemented modular architecture deployed on k3s Kubernetes on AWS EC2
  • Established GitOps workflow with ArgoCD and GitLab CI/CD for automated deployments
  • Achieved high software quality through pytest and Selenium testing
  • Managed infrastructure as code using Terraform and Ansible for reproducible deployments
Python/Flask AWS EC2 Terraform Ansible Docker/Podman Kubernetes (k3s) GitLab CI/CD HTML/CSS/JS Bootstrap Selenium ArgoCD

LLM-powered Chatbot Development

Media Impact, Berlin | Feb 2024 – Dec 2024
  • Developed a scalable chatbot using Azure OpenAI and Microsoft Bot Framework with RAG
  • Implemented multi-stage LLM pipeline (Condense, Chunk, Classify, Compose) for precise responses
  • Deployed cloud-native microservices architecture with AWS Lambda, EKS, and API Gateway
  • Established IaC with Terraform and GitLab CI/CD for automated deployments
  • Set up comprehensive monitoring with Grafana, Prometheus, and CloudWatch
Python Azure OpenAI Bot Framework AWS Lambda/EKS Kubernetes Terraform Ansible GitLab CI/CD Grafana Prometheus

Real-time Anomaly Detection System

National News Media & Tech (Axel Springer), Berlin | Nov 2023 – Jan 2024
  • Built high-performance real-time anomaly detection for ad delivery using Kafka and AWS Timestream
  • Developed stream processing applications with millisecond-level latency in Go
  • Implemented automated alerting via Microsoft Teams and AWS SNS for immediate notifications
  • Optimized event-driven architecture to significantly reduce detection time of performance issues
  • Established CI/CD pipeline with GitHub Actions for reliable deployment process
Go Kafka (MSK) AWS Timestream Microsoft Teams Kubernetes GitHub Actions AWS SNS

Business Data Integration Platform

Media Impact, Berlin | Jan 2023 – Oct 2023
  • Successfully integrated Direct Business data with Programmatic Data Lake after previous failed attempts
  • Led data lake integration using AWS EMR, Spark, and Scala for financial and booking data synchronization
  • Collaborated with product and finance teams to resolve SAP pricing discrepancies with Xandr
  • Developed automated data validation with AWS Glue, Lambda, and CloudWatch
  • Implemented data governance strategies and GDPR-compliant retention policies
AWS EMR Spark Scala AWS Glue Lambda SAP Step Functions

Marketing Data Lake & Analytics Dashboard

Axel Springer Brand Studios, Berlin | Jan 2022 – Dec 2022
  • Developed scalable ETL pipeline integrating data from 10 platforms (Adobe, AdUp, LinkedIn, etc.)
  • Implemented serverless architecture with CloudFormation, Step Functions, EMR, and Spark
  • Created CI/CD pipelines with GitHub Actions and AWS SAM for efficient development cycles
  • Developed interactive Tableau dashboards with VizQL and custom visualizations
  • Reduced monitoring time by 80% with automated workflows and real-time data processing
AWS Serverless CloudFormation Step Functions Spark DynamoDB S3 GitHub Actions Tableau Python

ETL Process Optimization & Migration

Media Impact, Berlin | Jul 2021 – Dec 2021
  • Migrated ETL processes from EC2 to AWS Lambda and Step Functions for improved scalability
  • Shifted large data processing to AWS EMR with Apache Spark for better parallel data processing
  • Achieved 82% reduction in AWS costs through serverless optimization
  • Implemented AWS SAM with Terraform and Ansible for consistent infrastructure management
  • Enhanced logging and monitoring with CloudWatch for early identification of performance issues
Lambda Step Functions EMR Spark SAM Terraform Ansible CloudWatch

Business Intelligence Dashboard Development

Media Impact, Berlin | Jun 2020 – Jul 2021
  • Developed 5 custom monitoring dashboards for various business departments
  • Created interactive Tableau dashboards with LOD calculations and custom visualizations
  • Increased programmatic revenue by 3% through detailed data analysis
  • Built automated workflows and CI/CD pipelines for reliable dashboard updates
  • Implemented RESTful API integrations with Xandr and Google using Python
Tableau Python pandas numpy SQL GitHub Actions AWS

AWS Cloud Optimization

Media Impact, Berlin | Feb 2020 – May 2020
  • Managed AWS IAM policies enforcing least privilege security principles
  • Implemented cost monitoring with AWS Anomaly Detection and Cost Explorer
  • Designed multi-account AWS architectures using Organizations, SCPs, and IAM roles
  • Applied AWS Well-Architected Framework for scalability, security, and cost efficiency
  • Automated infrastructure testing with pytest and Terraform test modules
AWS IAM Organizations Cost Explorer Kubernetes Terraform pytest

Automated SEO Ranking Tracker

Die Welt, Berlin | Sep 2019 – Jan 2020
  • Developed automated real-time SEO ranking monitoring system with Python and Selenium
  • Implemented web scraping techniques for efficient extraction of ranking positions
  • Created proxy rotation solution to avoid IP blocking and improve reliability
  • Provided real-time tracking to monitor keyword performance and SEO strategies
  • Improved website visibility through timely adjustment of SEO strategies
Python Selenium Web Scraping AWS Git