I’m a backend engineer with ~3 years of experience working on production systems at scale.
I currently work at Amazon, and previously at AdPushup, where I built and operated high-throughput distributed systems.
I enjoy working close to the core of systems — APIs, data pipelines, observability, and infrastructure — where correctness, performance, and ownership matter more than surface-level features.
I’m comfortable owning problems end-to-end: understanding failures, fixing root causes, and making systems more reliable over time.
Backend & Systems
- Java, Spring Boot, REST APIs
- Kafka, RabbitMQ, event-driven systems
- SQL (Postgres, MySQL), NoSQL (Couchbase, Redis)
Infra & Observability
- Docker, CI/CD, Jenkins
- Prometheus, Grafana, Alertmanager
- Structured logging (Log4j2), metrics & alerts
Cloud
- AWS (Lambda, CDK, SQS, CloudWatch)
- Oracle Cloud (OCI)
I’m language-agnostic by mindset — fundamentals first, tools second.
- Kafka pipelines processing billions of events/day
- Backend services used by real customers at scale
- Cost and reliability improvements in production systems
- Observability stacks that reduced on-call pain and MTTR
- Open-source contributions and side projects for learning
- Deeper system design and performance tuning
- Distributed systems fundamentals
- Go & Python for backend and tooling
- Better debugging, not just faster coding
