Alex Guziel
Member Of Technical Staff at The Apache Software Foundation
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Guziel is a backend-focused software engineer with 11 years of experience building reliable data and platform systems, currently a Member of Technical Staff at OpenAI in San Francisco. He has a strong track record at scale, contributing to data infrastructure roles at Airbnb and feature engineering platform work at Tecton. As an Apache Airflow PMC member and active contributor, Alex has improved core task execution, concurrency handling, and API endpoints for one of the most widely used workflow orchestration projects. His strengths lie in database interactions, API design, and lifecycle management for distributed jobs—skills honed across production systems handling large datasets. Comfortable moving between open source governance and product engineering, he brings both pragmatic problem-solving and a sense for durable, maintainable systems. A Cornell CS alumnus, he combines academic foundations with hands-on contributions to open-source tooling that power modern ML and data pipelines.
11 years of coding experience
8 years of employment as a software developer
High School, High School at Simi Valley High SchoolBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Cornell University
English
Github Skills (16)
apache-airflow10
workflow-engine10
orchestration10
orchestra10
sql10
python10
data-engineering10
api-design9
flask-ask9
flask9
testing9
restful-api9
rest-api9
api-rest9
automations8
Programming languages (6)
Github contributions (5)
apache/airflow
Aug 2016 - Feb 2020
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer
Back-end DeveloperContributions:77 PRs, 2 pushes, 467 comments in 3 years 7 months
Contributions summary:Alex primarily contributed to enhancing the core functionality and stability of Apache Airflow, focusing on features and bug fixes related to task execution, job management, and the web UI. Their work included implementing a JSON endpoint for task information, addressing concurrency issues, and improving task instance lifecycle management. Additionally, the user demonstrated proficiency in database interactions and API design through contributions to the task stats endpoint.
monitorpythonschedulerapacheprogrammatically
tecton-ai-ext/ad-serving-tutorial
Oct 2020 - Jun 2021
Tecton's tutorial for using an Enterprise Feature Store.
Contributions:9 commits, 2 PRs, 8 pushes in 9 months
feature-storeenterprise
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