Alexander Schüren is a Munich-based Solutions Engineer with 13 years of experience building cloud-native, serverless and data-driven systems across AWS and consulting environments. He progressed from software developer to Senior Specialist Solutions Architect at AWS and now helps shape product and customer solutions at OpenAI, combining hands-on engineering with customer-facing architecture. A pragmatic cloud constructor and "deep worker," he focuses on observability, infrastructure-as-code and ML-ready pipelines, and has contributed to the popular aws-lambda-powertools-python project to improve tracing and documentation. Comfortable both shipping code and translating technical needs for stakeholders, he blends academic computer science training with a long track record of production deployments and developer tooling improvements.
13 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Rheinische Friedrich-Wilhelms-Universität Bonn
A developer toolkit to implement Serverless best practices and increase developer velocity.
Role in this project:
Back-end & DevOps Engineer
Contributions:57 reviews, 58 commits, 11 PRs in 2 years 1 month
Contributions summary:Alexander contributed to the `aws-lambda-powertools-python` repository by merging branches and modifying the `aws_lambda_powertools/tracing/tracer.py` file. Their changes included adding decorators to create subsegments for lambda handlers and arbitrary functions, which likely enhances tracing capabilities. Further commits involved migrating documentation from Gatsby to MkDocs, indicating an active role in improving the project's documentation. Moreover, there are commits that improve the documentation and add infrastructure for layers.
CDK Construct library to create Lambda layer with Powertools for Python library.
Contributions:1 review, 74 commits, 92 PRs in 8 months
powertoolspythonawscdklambda
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