Ken Michael Email & Phone Number

Burlingame, California, United States

- Used PyTorch for machine learning-based computer vision in automated tests for augmented reality applications, improving real-world perception and interaction.- Developed Detectron2 object detection platform to train Smart Camera's pose estimation models in PyTorch.- Developed comprehensive unit tests for hardware components, ensuring their reliability and functionality.- Utilized Python's unittest library for conducting rigorous unit testing and regression testing of code and data pipelines.- Analyzed and prioritized Android device issues based on the underlying logic of the Android code. - Contributed to automated testing of OTA (Over-The-Air) updates.- Employed SQL to analyze test data, enabling the identification of critical patterns and insights, which contributed to data-driven decision-making in test strategy and quality improvements.- Utilized Selenium WebDriver with Python and Selenium Grid for efficient web automation.- Implemented Chef in Ruby for configuration management, streamlining the automation and deployment processes of augmented reality applications and testing environments.- Maintain scheduled Bash scripts to maintain code environments.- Used Jenkins and Jest to manage frontend and backend Python and Javascript tests.

Fremont, California, United States

- Developed machine learning and deep learning solutions using Python libraries such as Tensorflow, pandas, NumPy, Matplotlib, and OpenCV.- Implemented end-to-end data pipelines, including data extraction, transformation, and loading (ETL) processes, leveraging Google Cloud Platform services such as Compute Engine, Cloud Storage, BigQuery, AI Platform, Dataflow, AutoML, and Translation API.- Wrote SQL statements for extracting data from BigQuery.- Built Unity environments to train Reinforcement Learning models for robotics solutions in Unity and C#.- Set up, maintained, and troubleshot UNIX/Linux-based environments.- Utilized GitHub for version control and collaborative development of machine learning projects, ensuring efficient team coordination and code management.

Los Angeles, California, United States

- Designed and implemented a machine learning pipeline to predict information from images of parking signs, enhancing data extraction accuracy and efficiency, using Python libraries such as Caffe, Matplotlib, NumPy, OpenCV, and Python Imaging Library.- Improved machine learning model performance by subjecting it to rigorous testing against a wide range of image variations, thereby increasing its adaptability and overall accuracy.- Utilized SQL for efficient data management and to establish seamless data communication between mobile and web databases, facilitating a smooth flow of information.- Engineered an Android mapping application using Object-Oriented programming principles and REST APIs in Java, Android SQLite, and Android Studio, to create a user-friendly and feature-rich mapping solution.- Employed GitHub for version control in the development of the Android mapping application and machine learning pipeline, enhancing team collaboration and code quality management.

Ontario, California, United States

- Created Wordpress websites from Adobe Photoshop wireframes.- Tested websites to write cross-browser responsive CSS for consistent user experience on various browsers and devices.- Leveraged a diverse tech stack encompassing PHP, JavaScript, CSS, SASS, and the Foundation framework for streamlined development.- Refactored custom Wordpress PHP plugins- Managed Wordpress websites on a server for seamless operation and availability.

Los Angeles, California, United States

- Revamped an online healthcare platform, enabling remote patient care, data collection, and communication with clinical teams, contributing to improved healthcare management.- Transitioned the platform's architecture from PHP with CodeIgniter to a more dynamic and responsive solution using JavaScript with ReactJS, enhancing user interactivity and performance.- Implemented features for patients to log vital health information, complete symptom-specific surveys, capture wound images, and receive real-time alerts and reminders, facilitating comprehensive healthcare monitoring.

Los Angeles, California, United States

- Developed web-based calculators with dynamic graph output.- Refactor calculator logic from front-end Javascript into back-end PHP.- Migrated charts from Google Visualization to rickshaw.js and d3.js, enhancing data visualization.- Refactored the website to utilize modern web technologies, including HTML5, CSS, jQuery, and jQuery UI for improved user experience.- Utilized a diverse set of development tools, such as Bash shell, Chillbox (jQuery plugin), Git, Putty, XMing, WinSCP, XAMPP, Apache web server (LAMP stack), and Notepad++.