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Arunkumar Gangula
Senior Full-Stack Software Engineer specializing in distributed systems and cloud microservices
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About
Product-minded full-stack engineer from CouponDunia who owned end-to-end notification and recommendation services at million-user scale. Built internal admin/analytics and operations dashboards in React/TypeScript with typed contracts and scalable Node.js REST APIs, and has deep microservices experience with Kafka/RabbitMQ (idempotency, retries/DLQs, partitioning, consumer tuning, and observability).
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Key Strengths
- Owned end-to-end delivery of notification and recommendation services used by millions of users
- Rapid iteration using metrics-driven experimentation (CTR/conversion), feature flags, A/B tests, and incremental rollouts
- Strong reliability practices: CI/CD, monitoring, and fast rollback when metrics dip
- Designed scalable, strongly-typed React/TypeScript + Node.js systems with domain-based modular architecture
- Handled scale challenges in event-driven microservices (Kafka/RabbitMQ) with idempotency, retries, DLQs, and observability
- Performance optimization across stack (API response shaping, caching, React memoization/lazy loading)
- Built and drove adoption of internal tools for non-engineering teams via shadowing, weekly feedback loops, and clear time-savings
- Owned end-to-end production feature (frontend, backend, AWS deployment/ops) for high-scale notifications/engagement
- Performance tuning under peak traffic: DB contention fixes (profiling, indexing, join optimization, reduced writes)
- Scalability via async processing with Kafka consumers, Redis caching, and batching
- Operational excellence on AWS: monitoring, alarms, tracing, and autoscaling for traffic spikes
- Zero-downtime migration strategy (backward-compatible changes, dual writes/reads, rolling deploys, batched backfills)
- Reliable integrations/pipelines: idempotency, retries with exponential backoff, reconciliation/backfills, alerting
- High-ambiguity startup execution: shipped MVP payment integration with evolving requirements and iterated post-launch
- Maintainability improvements in microservices: standardized API contracts, shared modules, cleaner layering; reduced bugs and improved onboarding
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