Andrew Stahlman
Co-founder And CTO at Strange Loop
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Stahlman is a seasoned software leader and co-founder/CTO based in Seattle with 12 years of experience building backend systems and full-stack products across startups and large tech firms. He previously shipped production software at Amazon and Lyft before co-founding Strange Loop in 2021, blending hands-on engineering with product and technical leadership. A contributor to high-profile open-source projects like Apache Airflow, he has implemented core backend features and CLI tooling that improve workflow reliability and user management. He also has full-stack experience in voice computing, having refactored client portability and integrated Google Speech-to-Text for the Jasper project. Known for pragmatic problem-solving, he bridges scalable architecture and developer ergonomics to turn complex workflows into reliable, maintainable systems.
12 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Software Engineering, Bachelor of Engineering (B.E.) Computer Software Engineering at Auburn University
Github Skills (16)
apache-airflow10
speech-recognition10
orchestration10
workflow-engine10
orchestra10
backend10
python10
cli10
data-engineering9
automation9
automations9
unit-testing9
api8
apim8
file-handling7
Programming languages (15)
Github contributions (5)
jasperproject/jasper-client
Jun 2014 - Aug 2014
Client code for Jasper voice computing platform
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:17 commits in 2 months
Contributions summary:Andrew primarily contributed to the client-side code of the Jasper voice computing platform. Their work involved refactoring and improving the platform's portability by abstracting platform-specific calls, specifically related to audio output. The user also updated and fixed unit tests and addressed various CR comments. Furthermore, the user integrated Google Speech-to-Text (STT) into the platform.
voice-computingspeech-to-textspeech-recognitionmachine-learningvoice
apache/airflow
Jan 2018 - Jun 2019
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:Backend Developer
Backend DeveloperContributions:20 PRs, 64 comments in 1 year 5 months
Contributions summary:Andrew contributed to the backend of the Apache Airflow project by implementing and fixing core features. They worked on allowing the restoration of removed task instances, adding and removing users from roles via the CLI, and fixing a TypeError related to HTTP response headers. Further contributions included fixing the `/refresh_all` endpoint, importing and exporting users from JSON files, and adding CLI commands to manage roles.
airflowapache-airflowapachepythonscheduler
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