Jatin Shivaprakash

Built backend transaction services using Python, FastAPI, PostgreSQL, Redis, and Kafka, delivering 10+ REST endpoints while owning requirements clarification, implementation, testing, integration, and production validation. Developed governed RAG knowledge search using LangChain, Supabase, pgvector, hybrid retrieval, and reranking, improving retrieval time by 15% and enabling permission-aware citations. Extended operations approval workflows with agentic RAG using LangGraph, tool calling, HITL, and RBAC, integrating governed actions with retries, structured outputs, and auditable execution controls. Validated releases with pytest, Postman, RAGAS, and golden datasets, maintaining 66% automated coverage across API behavior, retrieval quality, access controls, and regression checks. Deployed services with Docker, Kubernetes, AWS, CI/CD, and OpenTelemetry across three environments, improving troubleshooting and production health verification. Created AI-assisted release intelligence correl

Developed customer and service-request features using Python, FastAPI, Pydantic, and REST APIs with Swagger, contributing 8+ endpoints in collaboration with business analysts and QA. Optimized PostgreSQL access for customer-history workflows using SQLAlchemy, SQL, Alembic, indexing, and pagination, reducing API latency by 18% and improving transaction reliability. Implemented secure notification and synchronization services using JWT, OAuth 2.0, RBAC, Redis, Celery, and RabbitMQ, reducing repeated database requests by 14%. Expanded release confidence through pytest, unittest, Postman, integration testing, regression testing, and code reviews, achieving 78% automated coverage prior to scheduled releases. Supported containerized releases using Docker, Jenkins, Kubernetes, AWS, and CloudWatch, troubleshooting configurations and validating deployment health. Resolved production support issues using logging, monitoring, root-cause analysis, and CI/CD troubleshooting, and improved internal s