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Shiva Kalyan Reddy Giri

Shiva Kalyan Reddy Giri

Fidelity Investments, Software Engineer

Dallas, Texas, United States

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Shiva Kalyan Reddy is a Senior Software Engineer with experience building and modernizing enterprise web and mobile applications, particularly in financial-services environments. His work spans full-stack development, API architecture, cloud platforms, enterprise modernization, and generative AI. He has hands-on experience with LLM APIs, retrieval-augmented generation (RAG), vector databases, semantic search, prompt engineering, real-time AI applications, and AI-assisted software development. He is especially interested in production readiness, secure data handling, scalability, maintainability, and ensuring that engineering teams understand and take ownership of the systems they build and operate.

Area of Expertise

  • Business & Management
  • Finance & Banking
  • Information & Communications Technology
  • Real Estate & Architecture
  • Region & Country

Topics

  • Role of AI in FInTech
  • Generative AI in Financial Services
  • AI-Assisted Software Development
  • Enterprise Application Modernization
  • Production-Ready AI Applications
  • Retrieval-Augmented Generation (RAG)
  • API & Full-Stack Architecture
  • Engineering Ownership & Code Quality
  • AI Security & Data Privacy

From AI Prototype to Kubernetes: Production Guardrails for LLM Applications

AI applications can move from idea to working prototype quickly, but deploying them reliably introduces challenges that model demonstrations often hide. Real-time APIs, WebSocket connections, external LLM services, vector retrieval, authentication, background processing, and unpredictable workloads all create new operational requirements.

This session presents a cloud-native architecture for moving an API-driven generative AI application toward Kubernetes. Using a real-time AI assistant as the reference use case, the talk examines how to separate frontend, API, transcription, retrieval, orchestration, and persistence workloads into independently deployable components.

Attendees will learn how Kubernetes primitives can support autoscaling, secrets management, health checks, resource controls, rolling deployments, workload isolation, and failure recovery. The session will also cover challenges such as scaling stateful WebSocket sessions, managing external model rate limits, tracing requests across AI services, controlling inference costs, and designing graceful degradation when a model or transcription provider becomes unavailable.

The presentation is vendor-neutral and focuses on reusable Kubernetes and cloud-native patterns rather than a particular commercial platform.

Austin Kubernetes Meetup User group Sessionize Event

September 2024 Austin, Texas, United States

Shiva Kalyan Reddy Giri

Fidelity Investments, Software Engineer

Dallas, Texas, United States

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