2022 — 2025
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)
Boston
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.
Education
Rochester Institute of Technology
Bachelor’s Degree
Massapequa High School