Kubernetes, Docker, Kafka, Flink, Java, Spring Boot, Spring Data, RESTful, Python, Redis, OpenSearch, CI/CD, AWS, GitOps, Helm
- Designed and built a high-performance data streaming pipeline processing 6B+ events daily, continuously scaled to meet growing demand with over 100 kubernetes clusters and 7 global regions
- Solved scaling and CAP (Consistency, Availability, Partition Tolerance) challenges using Flink for real-time stream processing, Kafka as the central message broker, Kubernetes for ops orchestration, and Redis for caching.
- Built an S3/Parquet data lake queried via Athena, and high-performance analytical dashboards (Java microservices + Flink + Postgres) enabling data-driven insights for internal teams and customers.
- Facilitated real-time alerting and advanced analytics, empowering customers to enhance decision-making and bolster security measures.
- Implemented a Secure SDLC and IP planning/management process for the product, adhering to industry standards.
Python, SQLite, Chrome extension
- Leveraged a frontier AI model with a local knowledge base to fast-track development and deployment workflows while supporting feature planning and execution.
- Developed a proprietary Chrome plugin that boosted the team's daily productivity and efficiency.
- Built a SQLite-based local memory layer so AI models could assist more naturally, with continuous feedback and improvement.