Frankfurt, Hesse, Germany
Data Engineering / Cloud Engineering for the Smart Data Analytics Team. • Developed reusable Terraform modules to standardize and accelerate AWS infrastructure deployment for the wider engineering team. • Built an end-to-end pipeline that used AI to extract data from supplier and lab PDFs, enabling tracking and visualization of key metrics in Dash. • Created robust ETL pipelines to centralize and transform data from different data sources for Sustainability Reporting, Supply Chain or manufacturing operations. • Collaborated directly with in-house customers to translate business requirements into technical solutions, delivering cleaned, visualization-ready datasets for different domains. • Tech Stack: Python, SQL, Airflow, Spark, Terraform, AWS (Redshift, S3, Athena), Dash
Software Developer @ SAP AI. My tasks include exploration and evaluation of open source and in-house AI platforms and tools. Prototypical implementation of ML API adapters to Machine Learning workload engines using Flask, OpenAPI, Metaflow and Databricks.
I continued my work as a software developer in the field "Smart Data Analytics" as a working student.
Software Developer in an international agile working team in the field of Smart Data Analytics and IOT. I contributed to the development of a dashboard tool that visualizes the whole product lifecycle of workpieces and is able to recognize systematic quality defects.
Member of the winning team of the first iteration of the TechTalents program organized by Eintracht Frankfurt and TechQuartier.