Leipzig, Saxony, Germany
Master's student in Data Science with a pragmatic focus on building scalable, end-to-end machine learning systems on AWS. My goal is to not just analyze data, but to engineer robust solutions that deliver measurable results. I am driven by technical challenges and the ambition to develop best-in-class MLOps architectures.
Full Stack Builder & Cloud Systems Architect • Architectural Governance & GCP Ecosystem: Strategic ownership and lead design of high-availability, serverless infrastructures exclusively on Google Cloud Platform (GCP); serving as the primary decision-maker for the internal software "toolbox" and enterprise-wide architectural standards. • AI-Driven Backend Engineering: Designing scalable microservices using FastAPI, incorporating advanced AI-integration for heuristic parameter optimization and automated data processing to maximize backend efficiency and computational performance. • Enterprise Frontend & UX/UI Excellence: Architecting sophisticated web applications with React and TypeScript, focusing on high-fidelity UI/UX design principles and performant state management to deliver seamless, data-rich user interfaces. • AI-Augmented Workflow Automation: Leveraging cutting-edge AI tools to operate as a high-velocity "Full Stack Builder," synthesizing Web Development, Data Engineering, and Google Workspace integrations into automated, cross-functional business systems. • DevOps & CI/CD Orchestration: Engineering robust deployment lifecycles via GitLab, including the design and maintenance of complex CI/CD pipelines to ensure rigorous security, stability, and continuous delivery in production environments.
Data Science & Cloud Engineering • Specialized in the practical implementation of end-to-end Machine Learning Operations (MLOps) workflows on the AWS platform to ensure scalable and reproducible model lifecycles. • Proficient in leveraging the AWS cloud stack for data science, including the SageMaker AI Suite, S3 for data storage, Lambda for serverless computing, Kinesis for data streaming and AppRunner/EC2 for application deployment. • Conducted scientifically-grounded research into state-of-the-art technologies and innovations to drive continuous improvement and adopt cutting-edge solutions. Business Intelligence & Analytics • Engineered robust ETL (Extract, Transform, Load) pipelines for large-scale datasets utilizing AWS Athena and Google BigQuery. • Designed and developed insightful, interactive reports and dashboards using Amazon QuickSight, Microsoft Power BI and Google Looker Studio. • Translated complex stakeholder requirements into technical specifications and actionable analytical solutions, ensuring alignment between business objectives and data-driven insights.