Tyler Gee
Software Engineer at KBX
Milwaukee, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolTyler Gee is a results-driven Software Engineer in Milwaukee with 12 years of experience building cloud-native, high-performance backend platforms using .NET, gRPC, Kafka, MongoDB, and PostgreSQL. He specializes in designing resilient, scalable microservices and data pipelines, with a practical focus on caching strategies, real-time synchronization, and observability for production systems. At KBX he drives API design, automation, and CI/CD practices while collaborating across product, QA, and DevOps to deliver measurable business value. An active open-source contributor, Tyler improved diagram generation and visualization flexibility for the widely used Python finite-state-machine project transitions, showing a knack for polishing developer tooling. He combines engineering rigor with a curiosity for astronomy-themed tooling—“building tools that look at stars”—bringing both technical depth and an eye for elegant solutions.
12 years of coding experience
1 year of employment as a software developer
Oswego High SchoolBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Wisconsin-MadisonAssociate of Science - AS, Computer Science, Associate of Science - AS, Computer Science at Waubonsee Community College
Github Skills (3)
python10
graph-visualization10
state-machine10
Programming languages (18)
Github contributions (5)
pytransitions/transitions
Jan 2016 - Feb 2017
A lightweight, object-oriented finite state machine implementation in Python with many extensions
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 commits, 13 PRs, 13 pushes in 1 year 1 month
Contributions summary:Tyler primarily contributed to the `transitions/diagrams.py` file, which focuses on generating diagrams for the finite state machine implementation. Their work involved fixing issues related to the diagram generation process after merges, removing obsolete code, and correcting the representation of initial states. The user also added the functionality to pass an 'initial_state' parameter to the `get_graph` method, enhancing the diagram customization capabilities. Further contributions included the refactoring of the graph styling and the addition of graph mixin support, which improved the flexibility of the visualization.
pythonstate-machinenested-stateshierarchical-state-machinestate-diagram
Subaru-PFS/drp_qa
May 2023 - Jun 2026
QA package for 2ddrp
Contributions:8 reviews, 106 PRs, 746 pushes in 3 years 1 month
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