Theo Kanning is a VP of Application Engineering with 11 years of hands-on experience building scalable, event-driven systems across robotics, ML, mobile, and cloud platforms. He has led high-impact engineering work at companies from Target to Optiwatt—owning AWS infrastructure for ~100k devices, Kafka-based services, and production migrations—while also contributing open-source tooling like a Java OpenAI client. A pragmatic leader and former lead engineer, he blends backend systems design with data engineering and Android expertise, having built recommendation pipelines, telemetry integrations, and real-time warehouse services that scaled tenfold. Based in Minneapolis, he brings an unusual mix of biomedical training, performance-stage confidence (as a Timberwolves dunk team performer), and a taste for teaching autonomous vehicles daring maneuvers via machine learning.
11 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Biomedical Engineering, Bachelor's Degree, Biomedical Engineering at University of Minnesota
Contributions:29 releases, 1 review, 61 commits in 2 years 4 months
Contributions summary:Theo primarily contributed to the development of an OpenAI API client in Java. Their work involved creating core functionalities, such as retrieving available engines, creating completions, and searching documents. The user also implemented essential infrastructure components like authentication interceptors and incorporated libraries like Lombok to streamline development. Furthermore, they focused on providing a solid foundation for interacting with the OpenAI API.
Contributions:4 PRs, 31 pushes, 6 branches in 2 years
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