Projects

Analytical PostgreSQL extension for vectorized execution.

• -Developed a native Postgres extension to bridge transactional and analytical workloads without relying on third-party OLAP engines.
• -Implemented columnar storage formats and vectorized query execution to process row batches efficiently.
• -Significantly improved data compression and read speeds for analytic queries directly within the database.

CLI-based background job orchestration and persistent queue.

• -Engineered a robust asynchronous task processing system backed by SQLite for state persistence.
• -Designed a concurrent worker pool architecture with strict at-least-once delivery guarantees.
• -Built comprehensive failure handling, including automatic retries, exponential backoff, and Dead Letter Queue (DLQ) routing for poisoned jobs.

API gateway for isolating computationally intensive workloads.

• -Designed a reverse-proxy routing layer to sit between client requests and backend compute nodes.
• -Safely isolates expensive operations by managing load control, request delegation, and timeout constraints.
• -Prevents main application servers from being overwhelmed by blocking tasks or heavy computational spikes.

Distributed ETL pipeline for file integrity processing.

• -Built an asynchronous data extraction and processing pipeline focused on high-throughput file integrity checks.
• -Orchestrated distributed workers using Celery and managed message routing and state through RabbitMQ.
• -Optimized pipeline bottlenecks to ensure reliable data ingestion under heavy concurrent loads.