Machine Learning Data Engineer
CurrentVisionPro.Video Engineering, Computer Vision, Machine Learning.
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@apple.com
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Michael Bridges is listed as Machine Learning Data Engineer at Apple at Apple, based in Vista, California, United States. AeroLeads shows a work email signal at apple.com and a matched LinkedIn profile for Michael Bridges.
Michael Bridges previously worked as Machine Learning Data Engineer at Apple and Software Engineer III at Apple. Michael Bridges holds Master Of Science - Ms, Computer Science - Machine Learning from Georgia Institute Of Technology.
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AeroLeads found 1 current-domain work email signal for Michael Bridges. Compare company email patterns before reaching out.
Experienced in the fields of Machine Learning, Artificial Intelligence, Computer Science, Data Science, and Data Engineering.
Listed skills include C++, Python, Github, Pyqt, and 24 others.
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Cupertino, California, Us
VisionPro.Video Engineering, Computer Vision, Machine Learning.
Cupertino, California, Us
Project Lead.Core OS Power & Performance Tools.SDE, SRE, EPM responsibilities.
Cupertino, California, Us
Core OS Power & Performance Tools.SDE, SRE, EPM responsibilities.
Carlsbad, Ca, Us
- Design & build a relational postgreSQL database for 5000+ satellites from internal/external sources.- Setup maintainable REST API for database interaction using node.js/express.js.- Consume API using 2D & 3D time mensurated browser visualizations using OpenLayers/Cesium.js.- Expand functionality of existing UI to accommodate improved satellite data in Vue.js.
Carlsbad, Ca, Us
Worked in a data science intern role working on modeling user experience.Trained an NLP classifer on user feedback to be used as a feature for service models generated along with internal features.Organized manual ground truth classification efforts for newly acquired data in order to increase model robustness.Communicated with business partners about useful data and analyses for modeling customer satisfaction.
Carlsbad, Ca, Us
Aircraft Hardware Databus Emulator ----------------------------------------- Inspired by my previous work at ViaSat, conceived, designed, built, and implemented a python wrapped object oriented C++ program which leveraged the hardware API of an ARINC-429 databus emulator. - This application had the ability to spawn an independent process to manage a hardware databus attached to the system, this process could then be controlled via REST API (i.e. start, stop, set values).- Integrated this application into the Product Acceptance Testing pipeline for a complete automation.Networked Device Versioning Tool----------------------------------------- Designed, built, and implemented a python tool to retrieve version information from pre-production network components via a variety of automated methods including http endpoints and direct connection.- Integrated this tool into the Production Acceptance Testing pipeline to retrieve version information and report it in the form of a Jenkins artifact.
Carlsbad, Ca, Us
Developed and implemented a test automation system for a physical aircraft data bus emulator, where tests were previously done manually.This automation involved creating an API for the data bus in Python. Then implementing that API into Pipeline test scripts using the Robot framework. This system allows for general, simple, and quick use of the data bus emulator which is a valuable asset to multiple test engineering teams.I used python 2.5 and implemented everything using std lib methods and classes. It also involved set up and configuration of multiple devices used on aircraft for in flight WiFi.
Carlsbad, Ca, Us
Created a cross platform utility application with GUI for use with network devices. This utility aggregates device logs, manages config files, and runs commands to show information in real time.This was a 3 month internship where developed software tools for system test engineers. Worked in a team of two and used agile methodology with 2 week sprints. Completed an application that shows useful information quickly to system test engineers.- Tools: Jira, Git, Python3, virtualenv- Packages: PyQt5, Pexpect, Matplotlib, Sphinx
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Michael Bridges works for Apple.
Michael Bridges is listed as Machine Learning Data Engineer at Apple at Apple.
AeroLeads has found 1 work email signal at @apple.com for Michael Bridges at Apple.
Michael Bridges is based in Vista, California, United States while working with Apple.
Michael Bridges has worked for Apple and Viasat Inc..
You can use AeroLeads to view verified contact signals for Michael Bridges at Apple, including work email, phone, and LinkedIn data when available.
Michael Bridges holds Master Of Science - Ms, Computer Science - Machine Learning from Georgia Institute Of Technology.
Michael Bridges is listed with skills including C++, Python, Github, Pyqt, Git, Jira, Sphinx, and Virtual Environment.
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