Rippling is the first way for businesses to manage all of their HR, IT, and Finance —  payroll, benefits, expenses, corporate cards, computers, apps, and more — in one unified workforce platform.

By connecting every workforce system to a single source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees' payroll, health insurance, corporate card, work computer, and third-party apps — like Slack, Zoom, and Office 365 — all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $700M from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, and Bedrock—and was named one of America's best startup employers by Forbes (#12 out of 500) and the #1 fastest-growing private company in the Bay Area by the San Francisco Business Times.

Indian Institute Of Information Technology Allahabad

Activities and Societies: Debate, Programming Competitions, ACM ICPC

Indian Institute of Information Technology, Allahabad

Rearchitecting and scaling insurance platform at Rippling to handle global insurance and removing dependency on single vendor.

Software Engineer

Aggregated payment reports: Designed and developed a low latency payments pipeline framework  to power reporting for uber partners with report freshness, completeness and correctness check in place. This significantly improved user experience and reduced cost for reporting use cases. Further extended it to power the realtime reporting use case as well.
Ledger as a service: Designed and developed a multi tenant, fault tolerant and scalable solution for ledger balance computation and tracking system with audit trails and sox compliance guarantee which was extended by other team.
Payments platform:
kafka completeness: We provide multiple ways to access payments data, and one of them is through kafka. I am working on proving the completeness of the kafka topic in order to ensure the downstream services get all the data.
Tech Stack: Java, Python, Kafka, flink, DynamoDB, AWS, Spark, redis, hive, hdfs

Senior Software Engineer

Migrating consumers to new payment platform: Was responsible for migrating the consumers to new payments platform without any downtime. Collaborated with different teams and build a system to bridge the gap for smooth onboarding.
Payments Data platform: Payment's data platform is responsible for persisting all payments data and providing access to the data in a reliable way. It includes providing sox compliance guarantee for the data being stored and accessed.  It handles millions of records per day and guarantees accuracy and millisecond latencies.
Tech Stack: Java, Python, Kafka, DynamoDB, AWS, Spark, redis, hive, hdfs

Software Engineer II

Unified rule based accounting system: A real time unified rule based accounting system which enabled uber to onboard any new line of business on accounting platform easy and fast.
Net inflows: Build a real time system for monitoring uber's financial health across all lob's.
Tech stack: python, go, node js, elasticsearch, schemaleess, kafka, redis

Revenue and Promotion accounting: A real time uber cost accounting system. Worked on design and development.
Tech stack: python, redis, elasticsearch, schemaless.

Software Engineer I

Worked on warehouse management system, part of supply chain platform
Modeled inflows, outflows and return flows for warehouse
Worked on pick path optimization for picking items from warehouse.
Tech stack: ruby on rails, mysql, java, kafka