Resume / CV

Gurugram, India

• Delivered full-stack features and backend services for retail clients including Titan, owning development through deployment and production support across scalable distributed systems.
• Designed and developed microservices in Python and TypeScript with well-defined service boundaries, with unit and integration tests ensuring reliability and regression coverage across deployments.
• Architected and optimized RESTful APIs for high-throughput backend services with load balancing and horizontal scaling, reducing average response time by 40% and improving throughput by 3x.
• Scaled marketing campaign processing to 10,000 campaigns/day and 1M+ email, WhatsApp, and SMS deliveries; implemented retry logic and event-driven workflows, reducing delivery failures by 35%.
• Reduced Kubernetes cluster RAM usage by 50% by analyzing service behavior and optimizing long-running processes; enabled high availability and zero-downtime deployments.
• Migrated core services from GCP to AWS, improving deployment reliability by 30% and reducing infrastructure downtime during releases by ~90%.
• Built an in-product AI chatbot powered by an MCP server, leveraging RAG with embeddings-based retrieval and reranking for analytics Q&A and guided dashboard navigation over structured business data.
• Optimized Redis-based caching and background workloads, reducing p95 latency by 45% and eliminating resource contention spikes under peak load.
• Resolved production issues including race conditions, stuck states, and incorrect routing, improving system stability and reducing incident rate by 60%.