Case studies
Selected work
Backend systems built for scale — rate limiting, job scheduling, and data infrastructure, with the trade-offs behind each decision.
Redis-Backed Rate Limiter
A distributed rate limiter built on Redis to protect core APIs from abuse and traffic spikes without adding meaningful latency.
Read case study → 2022Multithreaded Job Scheduler
An internal job scheduling system for coordinating thousands of concurrent background tasks with retry and backpressure handling.
Read case study → 2021Legacy ETL Platform Migration
Migrated a legacy batch ETL platform to a modern, incrementally-processed pipeline with zero downtime for downstream reporting systems.
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