Archit Gangal

About

Full-stack/backend engineer with deep insurance claims domain experience who built and operated a microservices + ETL platform (Java/Spring Boot + Python + Kafka/Databricks) processing 1M+ daily transactions. Combines production-grade reliability (99.7% uptime, zero-downtime blue/green releases, strong observability) with customer-facing UI delivery (AngularJS/React+TS dashboards and a hackathon-winning research chatbot).

Experience

Education

Key Strengths

• Shipped high-throughput insurance claims automation platform handling 1M+ transactions/day with 99.7% uptime
• Reduced manual processing by 43% via automated claims data extraction and workflow tooling
• Improved API latency by 27% and throughput by 38% through query/index optimization, Redis caching, async Kafka processing, and Kubernetes horizontal scaling
• Designed and operated production-grade Python ETL APIs with JWT + RBAC, versioning, layered architecture, and centralized error handling
• Strong observability and incident response: used Datadog APM to diagnose connection pool exhaustion/inefficient queries and restored sub-second latency in ~2 hours with zero downtime
• Zero-downtime release engineering using blue-green deployments, feature flags, and automated rollback (Jenkins/Kubernetes)
• Built customer-facing dashboards and validation/approval workflows for claims adjusters; incorporated user shadowing and iterative Agile feedback loops
• Delivered polished React+TypeScript conversational UI with streaming responses, robust edge-case handling, and accessibility (ARIA/keyboard navigation)
• Scalable PostgreSQL schema design with partitioning, JSONB+GIN indexing, and iterative performance tuning using slow query logs and EXPLAIN ANALYZE