Build privacy and compliance infrastructure for large-scale backend systems, with a focus on automation, reliability, and developer productivity.

• Led privacy enforcement and policy rollout across 100+ services and 1,200+ async jobs, helping scale compliance coverage across ads infrastructure.

• Designed and drove migration of 180+ data access call sites to a new client-side enforcement model, enabling privacy-compliant access for a large share of production read traffic.

• Built AI-assisted classification systems for internal data assets and feature groups, reducing manual audit work and improving classification quality; achieved 90%+ precision/recall for a key asset class.

• Developed automation and codemods that scaled privacy and enforcement adoption across many teams, significantly reducing manual engineering effort.

• Improved platform reliability through monitoring, alerting, incident review, and roadmap ownership as a team reliability lead/champion.

• Contributed to AI-enabled engineering tooling, including systems for evaluating code review quality and improving engineering workflow visibility.

• Contribute to building different applications from the lowest layer (supply/inventory) that communicates with airfare consolidators to the highest layer that exposes our endpoints to our frontend/customers in a multi-layer architecture system using Java 11 and Spring boot

• Implement the REST API platform using Spring-reactive for handling high volume requests.

• Implement the PCI masking module based on regex matching for log messages of the entire layer to ensure the security of clients’ credential information

• Develop the request/response summarization module for sending concise data to our Kafka/Splunk system

• Create multiple Splunk panels for tracking applications status from different aspects (request number, error percentage, error reason codes, etc) to facilitate debugging production issues

• Deploy applications through company-wide CI/CD system consisted of Bamboo, Harness, Higgins and GKE

Launched new version website to replace 5 years old design and architecture for Corpobids, a venue agency startup like Expedia with a reverse auction system for meeting allocation. Led backend development and AWS services deployment

• Redesigned user management system for current 25 thousand users and future users from session cookie to stateless JWT token assigning different accessibility to API; enhanced security of website, resulting server running safely from first day for 12 months and continuing

• Implemented searching system based on Spring Data JPA, PostgreSQL and JPA Specification, permitting users to generate flexible search criteria; increased usability and reduced code duplication by 30%

• Developed email notification based on Spring Mail and Java Mail, allowing sending email to users about new responses, resulting in a decrease of response time from 1 day to 4 hours average

• Integrated Priceline API to populate and update over 50 thousand of hotels data

• Improved data loading speed by 60% by improving Hibernate’s fetching strategy

• Deployed dockerized server image using AWS including ElasticBeanstalk, EC2, S3, RDS and Lambda; reduced server running cost by 40% while adding auto-scalability of entire system