A few selected projects. Each with problem, solution, stack, and lesson learned.
Open-source Rust framework for CDC (Change Data Capture) and data replication, built for real-time data pipelines. Captures MongoDB change streams and replicates them to destinations like S3 (JSON, CSV, Parquet, Avro), with a Redis-backed distributed state store and production throughput from 10K to 100K events/sec.
Migrated a mission-critical weather alert notification system from on-premise infrastructure to a fully serverless AWS architecture, enabling immediate delivery of safety alerts during high-traffic bursts. Designed high-throughput, asynchronous microservices for multi-channel notifications.
Led the architectural integration of AI-driven workflows for automated vehicle damage assessment, partnering with product and business teams to turn a complex automation problem into a user-facing capability.
Built event-driven data pipelines with Apache Kafka and Flink to calculate real-time driver risk scores, a pay-per-use telematics insurance platform. Highly available REST APIs in Java and Kotlin on AWS for large-scale, real-time processing.