Member of Technical Staff on the Payer Integration Team

Full-stack developer on Match Studio (formerly known as part of Rosette), a website for name, date, and address matching.

Frontend: React, Typescript, CSS, Vue, Ant design

Backend: Java, Spring Boot, Elasticsearch, Postgres, Maven

Key accomplishments:

• Improved new-user onboarding and feature adoption by building guided tours in React/Typescript and integrating them into the first-launch flow.

• Streamlined data ingestion by adding automatic detection of field types, multivalued inputs, and grouped fields in the Java/Spring Boot backend.

• Increased configurability and result relevance by delivering full-stack NLP-driven features such as Compare, Stop Words, and Overrides across React, Java, Spring Boot, and Elasticsearch.

• Expanded support for import of complex datasets by adding row previews, JSON/XML parsing (for nested and multivalued fields), grouped fields, and name type fields.

• Enabled broader customer workflows by delivering Locked Mode and Limited Mode (free trial)

• Reduced manual build efforts by enhancing Jenkins automation and Maven configuration.

Raised bulk comparison limits from 5 fields / 10 records to 45k-150k records (depending on 2-10 fields) by building a dedicated performance-testing environment (with sales engineering and IT), running benchmarks in Python, and publishing results in Jupyter notebooks.

Audible on Alexa team

• Led project over multiple epics to onboard to a tool to teach Alexa customers how to use Audible on Alexa. Wrote designs and adapted based on communication with stakeholders across multiple teams. Worldwide launch reached 41k customers within 4 months, increasing user engagement by 8-16%.

• Led epics for multiple projects, managing priorities, deadlines, and deliverables.

• Architected migration plan for new system to determine which Alexa service should get traffic for a given request, driving adoption of new system. Debugged issues with new system and presented to multiple teams, equipping coworkers to triage.

• Participated in team oncall, including quickly unblocking a partner team launch and identifying areas of fragility and tech debt that led to improved system robustness.

• Explored team’s AWS resources and migrated into a new AWS account. Completed AWS Certified Developer Associate.

• Coded: Java, Python, and YAML. Submitted and gave feedback on code reviews.

• Tested: unit tests with JUnit and Mockito, integration tests to run on Alexa emulators, manual tests on Alexa device.

Helped students with various computer science labs and projects; including projects I had never worked on before

Assisted students with:

◦ Understanding instructions and how to implement them

◦ Organizing and planning how to write code

◦ Analyzing and debugging code

Lab Assistant for CS-106 (Computer Science and Modeling in Python) and CS-104 (Applied Computing)

• Helped students understand and apply principles they had learned to complete their labs and projects

• Provided feedback on lab assignments to the professor, noting how instructions or assignments could be improved