• Drove the end-to-end development of a Generative AI-based lead form generation solution, which automatically created lead forms by scraping website ads. This initiative, developed in collaboration with cross-functional stakeholders, achieved over $1.5M daily adoption.

• Led a team of 2 engineers team in the creation of the Lead Ads Multi submission ad placement feature. This involved developing the Ad retrieval and delivery pipeline using advanced AI/ML techniques and integrating with existing Facebook application features.

• Drove development of the Lead Ads Ads Manager product, launching features like form template creation, optional/conditional questions, and form preview capabilities. These features drove over $2M in daily adoption revenue.

• Ideated and implemented an enhanced data pipeline utilizing website scraped form questions and Machine Learning (ML) algorithms.

• Expedited Elastic Search cluster ingestion process to few minutes by using concurrent AWS Lambdas and fine- tuning bulk ingestion process and index metrics.

• Designed and built a new AWS product’s event based scalable ingestion service using AWS Batch, S3, Elastic File System. Improved on the Batch job performance by evaluating EFS, S3, in-memory file system using metrics.

• Designed the data model for Elastic Search and setup continuous index creation and management.

• Worked with the USC Transportation team to help them onboard to Razor Sync app.

• Worked on daily Excel and Word reports.