Noah Tran is a founder and seasoned data engineer with 11 years of experience building scalable data solutions on AWS and orchestrating systems for production machine learning. He blends strong ML and robotics training—MS degrees in Mechatronics and Computational & Data Sciences—with hands-on autonomous vehicle work at Sensible 4, where he refactored legacy mapping code, fused lidar/camera/radar data and implemented an Unscented Kalman Filter for object tracking. On the cloud side he designs lakehouses using Glue, S3 and Airflow and has production experience with Kafka, Flink and Spark. He also ships developer tools and mobile software—founder of ProxymanApp and contributor to iOS UI and network-capture projects—demonstrating uncommon fluency from embedded perception to cloud pipelines. Based in Anaheim, he focuses on turning complex sensor and telemetry data into reliable, actionable systems that scale.
12 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computational and Data Sciences, Master of Science - MS, Computational and Data Sciences at Chapman University
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering at Tampere University of Technology
Bachelor of Applied Science - BASc, Automation Engineer Technology/Technician, Bachelor of Applied Science - BASc, Automation Engineer Technology/Technician at HAMK Häme University of Applied Sciences
Contributions:44 commits, 1 PR, 11 pushes in 6 years 4 months
Contributions summary:Noah primarily focused on implementing and refining UI elements within the `fespinner` repository, specifically related to blur effects and loading animations within an iOS application. Their commits included changes to `FXBlurView.m`, indicating work on a blur effect, and developing components related to a loading spinner, including `FeSpinnerTenDot.m`, `FeWaveLayer.m` and several view controller files to integrate and demonstrate these spinners. The user also added features for loading and dismissing the spinners, refining the visual presentation.
Capture HTTP/HTTPS, and Websocket from iOS app without proxy.
Role in this project:
Mobile Developer (iOS)
Contributions:38 releases, 18 reviews, 272 commits in 2 years 1 month
Contributions summary:Noah primarily focused on the development of a network traffic capturing application for iOS. Their contributions include initializing the project, creating core functionalities for intercepting and inspecting network requests, including the implementation of methods to swizzle URLSession tasks to intercept data. They added the ability to handle different upload scenarios and incorporated a mechanism to send the data to a connected Proxyman application. Moreover, they addressed potential issues related to background warnings.
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