Jeff Irion is a software engineering manager in the San Francisco Bay Area with 11 years of experience blending robotics, SLAM research, and production-grade systems engineering. He holds a Ph.D. in Applied Mathematics from UC Davis and has moved research-grade Graph SLAM and LiDAR processing from prototypes into industry at Bosch before building navigation and mapping software at Neato and Zoox. At Zoox he progressed from senior engineer to staff and now leads teams in the planner organization’s teleguidance efforts, pairing algorithmic depth with practical delivery. An active contributor to open-source tooling, he has implemented async improvements to a pure-Python ADB client and maintains research code like the MTSG toolbox, showing a habit of shipping reliable, test-driven solutions. Notably, his background spans low-level C++ robotics, distributed Spark-based optimization, and continuous simulation testing—skills that bridge research rigor and production demands.
11 years of coding experience
12 years of employment as a software developer
Ph.D. Applied Mathematics, Ph.D. Applied Mathematics at University of California, Davis
This is pure-python implementation of the ADB client.
Role in this project:
Backend Developer
Contributions:5 commits, 5 PRs, 9 comments in 1 month
Contributions summary:Jeff primarily focused on implementing asynchronous functionality for the ADB client, as evident by the introduction of `async` features in test and core files. Their contributions included changes to file I/O to use `aiofiles`, and adjustments to connection handling, particularly the `SyncAsync` and `ConnectionAsync` classes, indicating an effort to optimize performance. Additionally, the user addressed potential errors by closing sockets on failure and adding checks on data lengths.
Communicate with an Android TV or Fire TV device via ADB over a network.
Contributions:89 reviews, 284 commits, 534 PRs in 4 years 2 months
lgpythonappletvcommunicateandroid
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