SupportGPT

• Engineered an LLM-powered AI agent for customer support, automating the resolution of frequent inquiries by integrating custom widgets and procedural runbooks, which significantly improved response consistency and operational efficiency.

GraphQL Federation

• Led the migration from a monolithic to a federated GraphQL architecture to enhance system scalability and maintainability.

• Designed and implemented a streamlined subgraph development framework, reducing boilerplate code and accelerating development cycles.

• Optimized performance across the GraphQL gateway and all subgraphs by diagnosing and resolving critical issues such as memory leaks and thread leaks, leading to improved resource efficiency and system stability.

• Developed and supported code generation tooling for frontend, Android, and iOS/Swift to ensure seamless integration with the federated GraphQL schema.

Merchant payout and tax calculation

Realtime Rider Pricing:

• Built realtime rider pricing service for serving prices for ride-sharing product based on origin, destination, time, and business strategy with machine learning models(predicting driver payout and conversion rate) using Dropwizard framework(Java)

• Built pricing plans management system for generating, deploying, deprecating pricing plans for ride-sharing product with ReactJS, Spark, Dropwizard

• Supported migrating demand model for predicting conversion rate from a micro-service to Michelangelo, a Uber-wide machine learning platform

Supply Data Platform:

• Built a micro-service to provide source of truth for driver state change and supply summary to other services including insurance, fleet management, driver earnings, etc.

Realtime Insights:

• Built a Go micro-service that generates driver related business metrics in realtime for market health monitoring using Kafka and Cassandra, supports 200k TPS at peak

Blacklist/Dispatch Integration:

• Built a data backfill pipeline for blocking driver/rider if you gave/received 1-star rating to/from this person with Spark, and Piper(a job-scheduling service)

Geo-triggers:

• Ingesting global drivers' location update and generating events about drivers entering/existing/dwelling in geofences

Development and Operation of:

• Offer Service

• Offer Service Pre-computation Reactors

• Remote Catalog Service

• Catalog Responder APIs

Analog & Mixed-Signal IC Design

Digital IC Design

Mixed Signal Verification

Backend Flows