- Developed business intelligence hybrid data pipeline process validation using synthetic data sets. Technologies used: Python, Google BigQuery, Hadoop, Hive.- Set up cloud-based testing solution for iOS and Android applications. Technologies used: AWS Device Farm, UIAutomator, UIAutomation, Python, Java.- Designed, deployed, and maintained on-site automation lab for acceptance and functional testing of iOS and Android applications. Technologies used: SVN, Jenkins, Samba, UIAutomator, UIAutomation, Python.

- Built and supported continuous integration pipeline using UI testing framework for native Android and iOS Nook apps- Created several testing solutions for the devices’ OTA update mechanism- Built an automated power management testing framework on Python for several devices powered by Fluke DAQ and computer-controlled relay board- Developed a tool for quick looks testing of third party applications in Nook App Store- Wrote logs parser to collect and analyze statistical data on most frequent crash causes, and send reports with this data

- Developed automation tests for multiple Nook products using Robotium testing framework and shell scripting emulating common use cases: reading, web-browsing, video playback, and mixed use- Designed the mechanical part of device test fixtures based on SMAC Moving Coil Actuators- Created test plans and test strategies covering Settings and Audio player components and performed manual testing of these components- Wrote Bash scripts for device firmware update and recovery

- Developed CNC programs, created setup documentation, and performed quality control- Designed custom tooling and fixturing solutions for various types of applications- Provided technical guidance for machinists and other production floor workers- Worked with customers and external vendors