Resume

• Authored and led Fluss improvement proposal [FIP-37] — Native RoaringBitmap Integration.
• Designed bitmap-native analytics for a distributed streaming storage engine.
• Built serialization, deserialization, and aggregation infrastructure.
• Implemented SQL bitmap functions (cardinality, unions, intersections).
• Credited contributor to Apache Fluss v0.9 and Fluss Clients v0.1 releases.

• Built REST APIs and authentication flows on Spring Boot.
• Modeled SQL schemas and integrated backend services end-to-end.
• Shipped production-facing features across the backend stack.

My flagship contribution: designing bitmap-native analytics for Apache Fluss, a distributed streaming storage system under the Apache Software Foundation.

Extension library implementing native bitmap analytics functions for Apache Flink and Apache Fluss, designed following FIP-37 — aggregate bitmap functions, set operations, cardinality queries, and a serialization layer.

Production-style full-stack online bookstore with role-based auth, cart, orders, inventory and an admin dashboard, backed by REST APIs on MongoDB.

Cloud-native microservices application with API Gateway, Eureka discovery, JWT auth and pagination — a decomposed backend architecture running on Docker.

AI-assisted fitness platform generating personalized workout and nutrition plans with BMI analysis and diet recommendations.