Peter Klauke
About Peter Klauke
Peter Klauke is a Machine Learning Engineer specializing in logistics at Delivery Hero SE in Berlin, Deutschland, with a background in data science and physics.
Current Position at Delivery Hero SE
Peter Klauke currently works as a Machine Learning Engineer, Logistics at Delivery Hero SE, based in Berlin, Deutschland. In this role, Peter focuses on deploying and monitoring machine learning models tailored to enhance the company's logistics operations. His responsibilities include optimizing Python code for high throughput and low latency, essential for real-time decision-making in logistics.
Previous Experience as Data Scientist at Devoteam
From 2017 to 2021, Peter Klauke served as a Data Scientist at Devoteam in Frankfurt am Main und Umgebung, Deutschland. Over his four-year tenure, he gained extensive experience in data science applications and machine learning, which laid the groundwork for his current role in machine learning engineering.
Educational Background in Physics
Peter Klauke has a strong academic background in Physics, having completed both his Bachelor of Science and Master of Science degrees at Technische Universität Dortmund. This foundational knowledge in Physics enables him to approach machine learning problems with a unique problem-solving perspective.
Deployment and Monitoring of Machine Learning Models
In his current role, Peter Klauke is adept at deploying machine learning models using Kubernetes, Helm, and Terraform. He ensures that production models are monitored effectively using Datadog, Prometheus, and Grafana. This monitoring ensures the models' reliability and performance in a production environment.
Tooling and Optimization for Machine Learning
Peter Klauke creates and deploys tools to streamline model development and deployment processes. Utilizing technologies such as Airflow, Docker, and Drone, he enhances the efficiency and effectiveness of machine learning workflows. Additionally, he conducts load-testing with Locust to ensure models perform well under various conditions.