* Launched Recommendations using AI for new product Bulletin.

* Leading Performance Optimizations and Capacity initiatives for Org.

* Helping creators to grow on FB App using Recommendations and AI systems.

* Scaled and Expanded News Tab infrastructure to be used by other services within Facebook at Global Scale.

• Lead team in designing architecture, coding critical components and working with other teams.

• Designed an automated-data auditing project which was then developed and used in a team. This saved team hours of manual testing refforts and EMR costs.

• Implementation plus documentation of best practices in team, defined SLAs, developed run books and high-level architecture diagrams.

• Helped other engineers and managers to ramp up, fill the technical gap to facilitate smooth deliveries.

• Leading many tools project from inception to deployment in a fast moving environment.

• Working as a full stack developer and developing application using Python, Java, reactjs/express (http://mern.io), AWS EBS with docker and MongoDB.

• Working on reports framework, extending RESTful APIs, data-warehouse, data migration project and internal tools.

• Also helping team in recruitment, backlog grooming and provide help to other teams when needed.

• Implemented features for on-boarding new clients data with improved efficiency from multi day time to few hours.

• Added features and fixed many bugs in the UI.

• Full stack development work which includes gathering requirements from product managers, developing its server and front end and owning its responsibility till it hits the production.

• Developing automated tests to reduce testing efforts and help product stability.

• Systematically change the code to ensure features are easier to implement and we reduce time to market.

• Fixed deployment scripts making deployment faster which saved developers time.

• Integrating application with several other data sources.

• Helping team when needed to deliver the functionalities in time.

• My suggested changes were liked by product managers and were implemented in Eikon.