Jayavardhan Pappala

About Jayavardhan Pappala

GenAI Platform Engineer & AI Ops specialist with 14+ years of experience building cloud-native platforms, DevOps ecosystems, and production-grade AI systems.Currently designing and deploying:• LLM-powered enterprise applications• Retrieval-Augmented Generation (RAG) systems• AI-integrated DevOps & MLOps pipelinesHands-on expertise in Azure OpenAI, LangChain-style architectures, vector databases (FAISS/ChromaDB), and scalable model deployment using Kubernetes.Previously led cloud transformation, platform engineering, and DevOps modernization programs across global environments (Europe, Japan, India), delivering secure, scalable, and cost-optimized solutions.Key strengths:• Azure, Kubernetes (AKS), Terraform, CI/CD• AI/LLM systems (RAG, prompt engineering, MCP)• Observability, SRE practices, platform engineering• AI-driven developer productivity (Copilot, Claude)Built a production-ready LLM assistant (chemistry_bot) with full pipeline: ingestion → embeddings → retrieval → generation → deployment.Open to roles in:GenAI Platform Engineering | AI Ops | MLOps | Cloud AI Architecture

Experience

1. Ai & Ops Engineer

   UBS

   Feb 2026 — Present · Hyderabad, IN

   Built RAG-based enterprise knowledge systemsDesigned LLM pipelines (ingestion → retrieval → generation)Implemented AI observability (latency, hallucination control)Integrated AI workflows into CI/CD pipelines

Education

• Andhra University

  Bachelor's degree, Computer Science

  2001 — 2004

• Andhra University

  Master of Computer Applications (M.C.A.), Computer Science

  2005 — 2008