Jarvis Notifications Engine
A high-throughput notification engine on Kafka with idempotent processing, retry/backoff and dead-letter queues for guaranteed delivery at scale.
Backend engineer with ~5 years building high-throughput, fault-tolerant services. I live deep in the stack — reactive WebFlux services, Kafka pipelines, Redis and Elasticsearch — designing systems that scale, fail gracefully, and recover fast.
Backend ownership across notification platforms, reactive migrations and core app services — with a bias toward reliability and scale.
A snapshot of measurable impact and the recognition earned for engineering leadership and ownership.
Championed reactive, non-blocking services across the team — lifting throughput and resource efficiency under heavy load.
Led the end-to-end migration of a high-traffic Missed Call Alert system with a zero-surprise cutover — earning the Spirit of Collaboration award.
Idempotency, retries/backoff and dead-letter queues kept critical notification flows reliable under spiky, high-volume traffic.
Multiple Airtel awards for engineering impact, cross-team collaboration and rapid early ownership as a new joiner.
The stack I reach for to build fast, reliable, observable backend systems.
A few systems I’ve designed and owned — built for throughput, resilience and clean platform contracts.
A high-throughput notification engine on Kafka with idempotent processing, retry/backoff and dead-letter queues for guaranteed delivery at scale.
End-to-end migration of a high-traffic Missed Call Alert system — design, phased rollout and zero-surprise cutover across teams.
Re-architected blocking services into non-blocking reactive pipelines with Project Reactor — improving throughput and resource efficiency under load.
Open to Senior Backend / SDE-3 opportunities in platform & distributed systems — or just geeking out over reliability and scale. I usually respond within a day.