• Drives the development of an in-house conversational AI agent inspired by ChatGPT, actively contributing to creating a proprietary solution for rapid access to crucial insights and enhanced operational efficiency.

• Develops Azure Functions with an event-driven architecture for reporting and demand monitoring, optimizing storage and data handling.

• Implements role-based authorization using the AuthManager system for controlled access to resources.

• Optimizes and designs a microservices-based, in-house data service for efficient handling of various data sources, including data classes, connectors, and solution generators for improved occupancy and marketing data efficiency.

• Collaborates cross-functionally, actively participating in providing in-house conversational AI agent training to ensure seamless integration into existing workflows, fostering a culture of innovation and continuous improvement.

• Collaborate with stakeholders on new project proposals to translate project requirements into a polished internal user experience.

• Reduced cycle time (0.22 days of lock-to-fund) and labor cost ($28.78 in cost per loan) for loan files by allowing simple loan files to fund.

• Develop underwriting leveling queue system that resolves the complexity of a loan file to a corresponding level, and routes the loan to an appropriate underwriter.

• Process raw fundamental data about a loan into tasks for various stakeholders on

the loan (i.e. operations, borrowers).

• Tasks include collecting, verifying, and computing all the information for a

loan file.

• Build UIs within frontend web frameworks such as Ember, applying best practice

diagnostic techniques to verify usability.

• Mentor engineers extensively primarily with testing by leading workshops to

improve testing methodology and code reviews by expanding influence in SWE

capacity.

• Founding member of Women In Engineering. Grew more than double in size from

40 members to 100+ members in 1 year.

• Built test automation framework for consumer products team using Cypress, delivered lowest production level incidents in company by catching more bugs before deployment and bringing down change failure rate to 5.6% from 37% with at least 4 releases per week.

• Coordinated Cypress configuration and continuous integration (With Jenkins) across company and set up end-to-end testing strategies.

• Developed test data generator and obfuscator to create representative test database from production data.

• Wrote automated functional and regression test scripts using Selenium WebDriver (Java/JUnit), decreased automated test case failure percentage from 40% to 10%.