An experienced performance validation engineer with expertise in planning and executing work with a focus on task difficulties and project priorities. Possesses excellent leadership skills and demonstrates a strong understanding of algorithm performance testing in the Computer Vision domain, including the ability to lead the development of test plans and methods to test algorithm performance. Proficient in data-related automation such as developing Python scripts for data wrangling and using cloud-based frameworks and services, AWS, to process data. Proven ability to manage the lifecycle of test data and metadata used during testing and execute performance drill-down where required. Consistently maintains quality, focus, and accuracy during task execution.
Listed skills include Unix, Systemverilog, Android Studio, Java, and 15 others.