• Led backend engineering for core search and discovery surfaces during company-wide app redesign, delivering recommendation shuffling, freshness ranking, new home feed architecture, multi-media support, advanced filtering, autocomplete, and ML model integrations

• Built experimentation and ranking frameworks integrating OpenSearch, real-time ML inference, and service APIs, improving relevance, content diversity, user engagement, and system resilience

• Designed and operated scalable personalization data pipelines (Airflow, AWS: S3, Lambda, Redshift)

• Co-led cross-functional ML modernization with Data Science to productionize user embedding based

models

• Standardized on call operations for 16 engineers, reduced MTTR through PagerDuty playbooks and

blameless incident practices

• Tech stack: Python, Typescript, Airflow, AWS services, Postgres, OpenSearch/ElasticSearch

• POC in the design, implementation, and deployment of custom request queue for integrations between services, enabling a simpler communication between CRM and micro service back end.

• Led cross team effort to design and document a large database migration and API rework serving all of Tableau’s registration data.

• Designed and rebuilt the engine behind a document builder tool informing client Sales team with up to date registrations and keys data.

• Troubleshot and improved Tableau’s extensive Identity platform allowing for zero down time for various client Tableau team needs. Utilized AWS, Splunk, Auth0, Java, Python

• Passionate advocate of documentation, demos and pairing sessions to increase team collaboration.

• Acted as stand in Scrum master to guide team planning, stand up, demos, and retrospectives.

• Tech stack: AWS, Salesforce, Auth0, Java, Python, Splunk

• Design and implement applications for a startup specializing in event solutions

• Assisted in business planning and brand development, participated in various start up events to grow

company brand recognition.

• Tech stack: React, Redis, Sagas, Stripe, MongoDB, NodeJS.

• Maximized work time and flow efficiency for publishers by consolidating five content management/

publisher systems into a one stop workbench tool.

• Developed an automated system to increase Flipboard news content volume by pipelining external RSS feed content into Flipboard.

• Developed content and user activity analytics system for Flipboard users by aggregating user behavior actions with Kafka and Storm.

• Improved service health and failure visibility with monitoring/metrics by integrating Datadog & Sentry aggregation systems.

• Tech stack: Python, GoLang, AWS, Storm, Kafka

• Developed a modular implementation of Expedia’s Global Customer Operations tool automating traveler and agent experiences that power over 100 million interactions each year.

• Collaborated with groups across the company including Expedia Partner Central and Expedia Affiliate Network to fulfill this promise.

• Tech stack: Java, Gradle, Docker, Javascript