• Onboarded and lead a small team of new members through critical deliverables during transitional periods, enabling 100% on-time completion without mistakes for three different simultaneous releases. While doing so, I also mentored one of the new members to successfully and effectively lead her own team of newcomers through company-specific activities shortly thereafter.

• Regularly provided technical training to engineers across disciplines, fostering cross-functional expertise and supporting vertical team goals.

• Designed and Implemented strategies for high-confidence software delivery through automated tests, increasing regression coverage from 11% to 74% in about three months.

• Proposed and implemented a new robust requirement linking strategy mitigating coverage gaps and gaining stakeholder acceptance.

• Co-launched the Pride ERG, advocating for gender-inclusive community and supporting Intersectional initiatives

• Successfully advocated for hiring talented colleagues from previous companies, contributing to team strength and innovation.

• Leveraged Al tools to gather and organize data, regularly creating detailed spreadsheets that provide valuable insights and streamline decision-making for leads and stakeholders.

• Drove any and all QA test development, planning, and execution (manual, automated via Python, PyTest) for the product RapidSense from inception as sole QA member on the product

• Used Jira (w/ X-Ray) to successfully design and maintain test sets/cases, dashboards, traceability matrix in order to validate novel imaging algorithms in early stage development

• Worked with product owners to assess feasibility when defining product requirements

• Captured, curated, organized, and maintained data used for regression tests

• Assisted developers in root causing bugs by providing well organized bug tickets with highly targeted data and logs.

• Occasionally fixed very minor bugs (C++)

• Designed and implemented fault injection strategy to be used with HWIL scripts tailored to proprietary software (Python, XML, proprietary software)

• Designed tests to measure efficacy of detecting and interpreting cell phone imagery.

• Collaboratively developed, implemented, and tested a variety of computer vision algorithms.

• Analyzed large amounts of app timing data and communicated results to developers to pinpoint areas of concern and potential performance improvements.

• Collected and curated image datasets for algorithm testing and improvement.

• Contributed to software product development.

• Evaluated software quality, especially relating to color calibration.

• Worked directly with clients to diagnose complex system performance issues.

• Created internal documentation on relevant color science topics like color spaces, screen characterization, and measurement techniques.