Skills & Experience

First software engineer in Berlin office, working directly with ML specialists to bring research into production. Built the engineering foundation from scratch and took on broad infrastructure and operations responsibilities as the company grew. - Established development standards where none existed: version control workflows, deployment pipelines, tech stacks, and cloud infrastructure - Own company-wide technical infrastructure: DNS, API key management, cloud accounts, and system administration - Built automation tooling for cross-functional teams, enabling marketing and operations to self-serve workflows - Evaluated and integrated AI-assisted development tools, becoming the team's technical resource for their adoption - Sole owner of a product initiative from concept through deployment, maintenance, and iteration based on user feedback

Developed a scientific Python package to implement a reinforcement learning environment for electricity trading. Design, implementation and benchmarking of model paradigm fitting data structures and algorithms ensuring optimal runtime performance. Took over responsibilities in data modeling, ETL pipeline design, database deployment, and HPC cluster orchestration.

Final Grade: 2.2 (78%) | 210 CP (7 Semesters) Thesis: "A Deep Reinforcement Learning Environment for the Limit Orderbook Intraday Electricity Market: Development and efficient Implementation" | Grade: 1,2 (92%)