Backend Engineer in Monetization - Ads Measurement Personalization & Privacy:

• Leading a new initiative to support personalized ads and create AI agent for users to understand Ads better.

• Leading scalable Ads privacy-aware infra: Conceptualized and drove the development of privacy infrastructure from 0-to-1, safeguarding user data and ensuring compliance with multiple global privacy regulations (eg, GDPR). This framework unblocked clean, high-performance, real-time access across 30+ product surfaces, supporting 200 billion daily data traffics. (https://engineering.fb.com/2025/07/23/security/policy-zones-meta-purpose-limitation-batch-processing-systems/)

• Initialized the Metrics Safeguard Access Control System, pioneering privacy compliance for Ads

measurement by reliably delivering sensitive metrics only to eligible clients, mitigating critical data leakage risks, and strengthening compliance through enforced protocols.

Backend Engineer in Monetization - Ads Measurement

• Architected a unified metrics reporting platform, powering all major products (e.g., Instagram, Ads

Manager, Meta Marketing API) and key clients like Google and Amazon through multiple successful launches.

• Drove $213M in annual revenue by redesigning and reactivating a third-party Ads service, increasing Ads metrics accuracy from 75% to 97%.

1. Implemented multiple APIs for a searching platform using Java to handle HTTP requests and responses to manipulate data in different databases.

2. Inserted and modified data in Elasticsearch and PostgreSQL on the Linux server.

3. Refreshed cached data in Redis and updated corresponding data plots in webpage in real time.

4. Integrated APIs to handle batch insertion of Excel sheets to PostgreSQL and fetch records dynamically.

5. Performed integration testing, proactively fixed 10 critical issues to ensure platform’s accuracy and reliability.

6. Improved the platform performance by 80% by reducing time for data preparation and getting rid of manually processing large dataset.