Graduated from the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I believe that technology is the platform with which any complex problem can be solved with a comprehensive and applicable solution.
Greater Seattle Area
Led multi-quarter cross-functional project to create non-production Medical Terminology scaleable Data Pipelines and migrate to new infrastructure utilizing Airflow, DataDog, Python, Terraform, EKS, Snowflake, and SQL Server.
Defined project roadmaps in collaboration with Product and proactively identified many gaps in on-call alerting and monitoring processes.
Identified S3 Storage Cost savings of $250k and assisted cross-company adoption of related Terraform changes.
Managed the team's largest incident response by immediately identifying the issue, implementing a solution, and presenting a detailed analysis of the incident and response.
Mentored junior engineers on the team through 1-1s, pair programming, technical feedback, and advocacy.
Greater Seattle Area
Continued to work on Response Quality improvements.
Worked closely with Product to establish measures of success and provided suggestions for ways to build out these features.
Led development for new full-stack UI tools using Python, Microservices, RESTful APIs, and Kafka to automate manual processes and establish automatic revenue recapture opportunities for Customer Support.
Served as a Co-Lead for internal Employee Resource Group centered around Women in Engineering at Momentive.
Designed and led various events throughout the company to gain sentiment and assist with retention and community building.
Worked with recruiting to launch an incentive-based program to attract more referrals.
Assisted with interviewing across multiple roles ranging from Software Engineering Interns, Senior Software Engineers, and Engineering Managers.
2020 — 2022
Greater Seattle Area
Designed and Implemented Response Quality Improvements for survey takers and customers.
Implemented additional survey quality measures during service re-architecture to prevent poorly structured or phishing surveys from being sent to survey takers.
Worked cross-functionality and closely with Mobile Team to create a new question intended to gauge attention and relate to quality.
Assisted in a new process with the Machine Learning Team to assess the quality of responses.
Worked with Product on a hackathon project that reduced unnecessary service and database calls while improving survey distribution amongst panelists, increasing weekly active user percentage, and reducing potential bot farming.
Designed and implemented a process to improve consistency across reoccurring Audience Projects.
Established a new relationship between projects which modified the existing lifecycle management.
Implemented improvements for customer support to create Salesforce cases based on project lifecycle.
Established new flows within a new service and supported existing features while familiarizing myself with Salesforce integration.
Served as an Engineering Intern Program coordinator
Mentored interns through daily check-ins, debugging, and providing advice.
Advocated for interns to get the resources they needed.
Assisted in building intern interview questions, processes, and matching.
2019 — 2020
Greater Seattle Area
Developed a new process to flag abuse within SurveyMonkey Audience.
Worked closely with cross-functional stakeholders including the Machine Learning Team.
Changes were primarily in Python and spanned multiple team codebases.
Assisted in service re-architecture and implementation for Audience Team.
Focused on backend Respondent Experience and integration with our new service.
Organized various tech talks and brown bags within the team. Assisted recruiting through interviewing and recruiting at technical conferences.
Greater Seattle Area
Created and updated internal features for Audience Product Specialists.
Worked on an Agile team focused on SurveyMonkey Audience
Modified existing back-end functionality in Python with modularity in mind
Updated front-end code in HTML, Jinja, JavaScript, and React to display new features
Developed automated end-to-end testing with Selenium and unit tests with pytest
Environment: Python, Jira, TeamCity, Docker, Jinja, Selenium, React
Education
2015 — 2018
University of Washington
Bachelor of Science - BS
2015 — 2018
2011 — 2015
Garfield High School
2011 — 2015