Durga Chaitanya Surla

Engineered production Retrieval-Augmented Generation (RAG) pipelines using LangChain, Azure OpenAI, and AWS S3, cutting driver-partner support ticket resolution time to under 6 hours (from 48) across ~12,000 daily queries. Architected multiple ASP.NET Core 8 microservices deployed on AWS Lambda and Amazon ECS, replacing a legacy monolith and reducing API latency from 1.8s to 340ms while maintaining 99.99% uptime. Built an LLM-powered ride-matching orchestrator using Semantic Kernel and GPT-4 to process millions of daily requests, integrated end-to-end observability with OpenTelemetry and AWS CloudWatch, and improved performance by integrating Azure Cosmos DB and Redis caching to eliminate large volumes of redundant SQL roundtrips. Automated CI/CD with zero-downtime deployments via GitHub Actions and AWS CodeDeploy, improving release cadence substantially and supporting reliable high-frequency releases. Led CQRS and DDD adoption in the pricing engine, mentoring engineers on event-driven

Modernized payroll processing REST APIs using ASP.NET Core 8 and SQL Server, meeting a sub-500ms SLA while processing hundreds of thousands of employee records per cycle with zero data loss. Refactored legacy WCF services into OAuth 2.0 secured RESTful microservices, improving response time and strengthening identity and API security. Optimized Entity Framework Core query plans against a very large SQL Server dataset to reduce report generation from tens of minutes to under a few minutes and unblock downstream data pipelines.

Built an enterprise tax reconciliation platform using C#, .NET Core, and Oracle Database to process billions of client financial data with full audit-trail compliance and RBAC. Implemented Python/SQL ETL automation that eliminated hundreds of hours of manual reconciliation work and improved data accuracy across multiple client engagements. Migrated production applications from .NET Framework 4.6 to .NET Core 3.1, addressing many security vulnerabilities identified in compliance audits and reducing annual vendor licensing costs.