Quality Assurance and Automation Developer

NetExperience

1. • Worked on test automation framework design and development for NetExperiences cloud modular application platform
2. for Open Wi-Fi AP hardware. The cloud management solution manages a variety of configurations to be pushed on bulk
3. wireless access points in a larger deployment, allowing automation of issue detection, self-diagnoses, and troubleshooting
4. production issues.
5. • Developed a good understanding of the IEEE 802.11 standards and general networking concepts such as encryption
6. methods, channel spacing, throughput, and transmission power.
7. • Designed and developed the majority of the automated user interface testing for the NetExperience cloud controller using
8. python and selenium webdriver.
9. • Automated testing for the NetExperience cloud WLAN controller using Python by adding wrapper functions to the cloud
10. APIs that interact with Open Wi-Fis Access points to perform operations such as remote SSH, RF profile assignments,
11. and changing radio parameters.
12. • Created several automated testing frameworks for access point configurations such as verifying the country code of an
13. access point according to the WLAN regulatory domain to validate the allowable transmission power, available channels,
14. DFS and Non-DFS channel operations along with client connectivity for different UNI band channels.
15. • Worked on an automation project updating the end-to-end test framework by allowing the configuration of different
16. SSIDs on 2.4G and 5G band with different bandwidths and connecting wireless clients to validate connectivity and
17. bi-directional traffic flow.
18. • Experience working with Linux to interact with Open Wi-Fi Access point controllers such as opensync and ucentral.

QA Engineer

Curtiss-Wright Corporation

1. • Created a tool that automated report creation by compiling various manufacturing details such as product defects,
2. problems in the assembly line, and customer product quality issues. It was developed with Python and automated by
3. gathering data with SQL and manipulating that data with the Pandas library and Win32com module.
4. • Developed an application for the quality department that gathered the combined data from a Manufacturing Execution
5. System database and System Applications and Products (SAP) database based on a part number and date range input.
6. This tool displayed information such as the product yield and defect types in a UI built with PySimpleGUI.
7. • Automated a weekly task using Python, the SAP scripting API, and pandas library that manipulated, formatted, and
8. inserted manufacturing data into an SAP database using its scripting API reducing the task time by 83%.

University of Ottawa

Computer Science