At DataGrail, we believe in a world where people can be in control of their privacy and identity.We're developing the privacy platform modern brands rely on to build customer trust and transparency. We untangle the complexity of data privacy and help brands build privacy programs that work, giving them an easy-to-use platform to scale privacy and stay compliant with regulations like GDPR, CCPA, and CPRA.

I helped build a modern data platform that enabled customers to analyze their data from various data sources. I developed features that enabled users to ETL their data into data warehouses, enhance their analysis with R/Python, and built the infrastructure and tooling needed to support engineering teams across the company.Periscope Data was acquired by Sisense in May 2019.Technologies: Ruby on Rails, React, Go, Kubernetes, AWS

As an engineer and scrum master on the Search team, I was responsible for building a highly scalable system for enterprise data with the main goal of providing relevant search results. My team handled the entire search microservice stack, including development, deployment, and monitoring.Technologies: Java, Scala Elasticsearch

As an engineer on the Budgets and Planning team, I created modern financial applications emphasizing scalability. I developed various features, including Parent-Child Budgets, Position Budgets, Budget Checking, and Headcount Planning. Additionally, I served as the lead for the Budgets and Planning public Web Service API.I also had the opportunity to expand my role internationally and helped establish two offshore development teams in Dublin, Ireland. My role included guiding agile ceremonies and mentoring 12 developers over the course of six months.Technologies: Java

As a automation engineer on the Budgets team, I created and maintained automated tests that ran daily in our automation suite. I developed reusable tools that increased speed and efficiency of engineers writing tests. During this time, I also served as the Scrum Master helping the team improve through process and iteration.Technologies: Java

• Developed graphing utility collector to record statistics on various processes running on steelheads when tested against framework and performance tests.• Examined system logs of customers and in-house steelhead products to reduce error levels of bugs.• Constructed various test cases for SSL tests to reach rare TCP memory pressure bugs.Highlights:• Completed three separate projects over the course of the internship.• Created a graphing utility collector, which was frequently used by various teams.Technologies: Python

• Performed manual and Selenium testing for web-based applications.• Designed backend HTTP request test cases for integration and regression environments.• Automated CLI and REST test cases in Python to find and fix bugs in the User Interface.• Evaluated compatibility for various web browsers on the Windows and Mac Environments.Highlights:• Automated 13 critical cases in 1.5 months to reach the immediate goal of QA by product release.Technologies: Python

• Managed Facebook, Twitter, and Yelp accounts to promote online business.• Reached out to thousands of students for feedback to improve service to 7000+ daily customers.• Handled and updated information on the Coffee House website so it could be accessed by students and faculty.Highlights:• Developed fully functional social media accounts with constant traffic and engagement from customers (https://www.coffeehouse.ucdavis.edu).