• Convergence at Linkedin aimed at solving streaming & batch compute & data convergence using Apache Flink & Apache Iceberg at Linkedin on Kubernetes

• Managed Stream Processing Platform with Apache Beam & Flink

• Led Real time Machine learning initiatives at LinkedIn, including Realtime Feature Generation Platform, Feature Access (Remote + In process local) and low latency Model Inference.

• Managed key stakeholders for Streaming Infrastructure, such as Notifications Platform and ML infra.

• Stream Processing Platform at Linkedin - 4T msgs a day

• Apache Beam at Linkedin

• Developed fundamental layer for managing Apache Yarn cluster for Streaming infra LinkedIn, enabling graceful container movement and restart for stateless & stateful jobs.

• Contributed multiple oss improvements to Apache Samza

Committer - Apache Samza

Contributor - Apache Beam

Worked as a full stack intern with Ads Growth and Incentives team. Built tool around coupons and worked around simplifying coupon infra using Hack, XHP and other internal tools and APIs

• Built a web app for centralized coupon budget tracking, multi-currency diagnostics and informing payment decisions

• Improved issue debugging and consolidated coupon infra management by developing a tool using Hack and XHP

• Redesigned and simplified Coupon Infra and integrated various live products on web and mobile with coupons