Noah Tran is a founder and data engineer with 12 years of experience building scalable data lakehouses and orchestration pipelines on AWS, leveraging Glue, S3, Airflow, Kafka, Flink, and Spark. He blends a strong machine learning background with hands-on systems engineering—refactoring legacy mapping modules and implementing Unscented Kalman Filters for autonomous vehicle perception at Sensible 4. Proficient in Python, R, TensorFlow and PyTorch, he deploys ML models and automates data ingestion and ETL workflows to drive production analytics. An active open-source mobile and UI contributor, he founded ProxymanApp and has notable work capturing iOS network traffic and refining UX components for cross-platform desktop and design-system projects. Based in Anaheim, Noah pairs academic training in computational and data sciences and robotics with practical product-building experience. He is drawn to thorny data orchestration challenges where systems-level thinking yields measurable operational improvements.
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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