Praveen Koppisetty

I’m a Generative AI Engineer with 3+ years of progressive experience (Mar 2023–present) designing, building, and shipping production-grade AI applications and AI-enabling data infrastructure. I focus on turning LLM capabilities into reliable systems through strong RAG pipelines, prompt engineering, and end-to-end deployment.

At Centria Healthcare (via Neuromnia), I architected and shipped 3 production-grade GenAI applications using LangChain and RAG pipelines, reducing manual content retrieval time by ~40% for end users. I also engineered 30+ production prompt templates (OpenAI GPT-4), improving classification and summarization accuracy by 30%, and built 5+ FastAPI REST integrations to enable real-time AI inference across live product features.

At MyDoc (via Truemax), I engineered GCP-native AI data pipelines powering ML model features and analytics. I designed and orchestrated 20+ Apache Airflow DAGs (Cloud Composer) ingesting and transforming 5+ TB/month into BigQuery, built governed data models, and supported Vertex AI dataset readiness—while migrating 100% of on-prem infrastructure to GCP to eliminate legacy bottlenecks.

My approach is practical and measured: I integrate retrieval layers (e.g., Azure AI Search with FAISS), enforce data governance via Entitlement Logic-based authorized views, and deliver quickly with cross-functional teams. I’m Oracle Cloud Infrastructure Generative AI Professional (2025) certified and currently deepening expertise in LangGraph, Agentic AI workflows, and vector database retrieval architectures.