Engineering
Three years of professional experience as a Software Engineer working with cloud based technologies. Developed applications and testing frameworks to validate service deployments in Amazon Web Services.
Intern Mentor
Mentor to all team undergraduate and graduate interns
Define expectations, projects, and work over three month period
Give daily feedback and code reviews
Successfully saw interns receive full time offers and join company
Subject Matter Expert
Trusted for technical questions revolving team's tooling
Authored descriptions for over 70 complex technical topics for user reference
Produced answers to over 4,000 developer questions
Maintain and author documentation detailing technical processes
Scrum Lead
Oversee workload of 18 people by driving bi-weekly meetings to distribute work and ensure team is on track with sprint goals
Present team progress with managers
Use Confluence and Agile scrum methodology to maintain project milestones
DTech Mentor
Mentor for undergraduate students within organization that empowers women pursuing technical careers
Offer career and internship advice through 1:1 mentoring sessions
WATCHDOG PROJECT
Led and developed program across 13 teams to validate migration of first-party data to public cloud through API based testing.
Presented platform to entire 300 person organization.
Created documentation and onboarding roadmaps to encourage adoption and expansion across new services.
Captured 170 system failures to date.
Successfully onboarded 10 teams to tooling software.
COVIDENTIFY
Researcher and iOS Engineer for mobile application that utilizes biometric data from wearable devices to detect Flu and COVID - 19 infection
Strategy
Ingested data from study participants’ Garmin and Apple watches to track physiological changes related to infection onset such as irregular sleeping patterns, body temperature, and blood oxygen measurements.
Used Apple HealthKit to create daily surveys to capture symptom data from study participants
Implemented plan for increasing participant engagement by generating daily health surveys and push notifications
Outcome
Study enrollment grew to 7,000+ participants who completed 362,000 total surveys
Deviations in participant data proved that resting heart rate, physical activity, and sleep patterns can predict COVID-19 infection with 95% confidence 10 days before detection from standard diagnostic testing