• New industrial data Lakehouse solution provided next-gen of data ETL and analytical experience.• From scratch, scoped and defined key concepts, customer experience and product architecture.• Led engineer team and oversaw the engineering/ops, secured multiple rounds of private releases.• Onboarded major industrial partner (e.g. Siemens) and drove partner solution development.

• Launched AWS IoT TwinMaker, Amazon's first digital twin platform verticalized in Industrial IoT space.• As founding member, developed concepts from scratch for digital twin modeling and unified connector framework. Oversaw the engineering of data plane and then entire modeling service.• Scaled the initial backend system to meet the growth challenge for next few years.

• Launched IoT ThingsGraph, a foundation service that help partners to model device actions and build IoT applications via unified configuration interface and interactive UI.• Led the engineering/ops of the service control plane. Secured the release of MVP and then GA.• Explored the adoption opportunity with industrial partners.

• From scratch, designed and built end-user notification system for auto-generated smart albums.• Scale the system to serve users at millions level. Released to prod one month post internship.

(Amadeus operates the world's largest distribution system in travel industry)• Prototyped new-generation ETL data pipeline by re-architecting existing Map-Reduce system to Apache Spark, at a time when Spark was still in experimental phase (pre v0.8).• Verified feasibility on a real dataset of 50M records, performance increased 30% using same infra. • Prototype got visibility and investment from senior leadership and later used as skeleton for company's next BI platform.