Vijay Viswanadh Jonnadula

About Vijay Viswanadh Jonnadula

I’m a Generative AI and Machine Learning Engineer with experience building production-grade AI systems in enterprise environments. I specialize in developing LLM-powered applications such as RAG pipelines, AI agents, and intelligent automation workflows using GPT-4 (Azure/AWS), LangChain, and vector databases like FAISS, Pinecone, and Qdrant. I’ve built end-to-end solutions from data pipelines and model fine-tuning (SageMaker, Azure ML) to deploying scalable APIs with FastAPI and full-stack applications using React and Next.js. My work focuses on improving system performance, reducing latency, and delivering accurate, context-aware AI responses. I also implement strong MLOps practices, including CI/CD, MLflow, and monitoring (CloudWatch, Prometheus, Grafana), ensuring models remain reliable and observable in production. I enjoy translating complex business problems into scalable AI solutions that drive measurable impact.Vijay Viswanadh Jonnadula 2••••••••@gmail.com

Experience

1. Gen Ai Engineer

   Walgreens

   Jul 2025 — Present · US

   Built and deployed full-stack GenAI applications integrating LLMs for real-time document understanding, search, and conversational experiences.Designed scalable RAG-based architectures to enable accurate, context-aware insights from enterprise knowledge sources.Developed AI agents and automation workflows to handle multi-step tasks, improving operational efficiency and reducing manual effort.Implemented real-time, interactive AI interfaces with streaming capabilities to enhance user experience and responsiveness.Deployed and managed cloud-native AI systems using containerization, orchestration, CI/CD, and monitoring for high availability and performance.Improved system performance by optimizing model responses, latency, and reliability, while ensuring strong security, governance, and Responsible AI practices.

Education

• Kent State University

  Master of Science - MS, Data Science