Nipun David

I help businesses and developers leverage the power of Generative AI, RAG (Retrieval-Augmented Generation), and Agentic workflow to build cutting-edge AI applications. With hands-on experience across Azure AI, OpenAI, AWS Bedrock, SageMaker, and Databricks, I specialize in designing and optimizing AI/ML solutions tailored to real-world challenges.

What I Bring to the Table
✅ RAG & Multimodal RAG – Designing intelligent retrieval-based AI systems, optimizing embeddings, and leveraging vector databases.
✅ LLM Integration & Fine-Tuning – Experience with OpenAI, Claude, Mistral, and other open-source & proprietary models.
✅ Guardrails & AI Safety – Implementing security layers, prompt filtering, and bias mitigation in GenAI applications.
✅ Agentic Workflows – Building multi-agent AI architectures for automation, knowledge retrieval, and decision-making.
✅ Enterprise AI Deployment – Expertise in cloud-native AI deployments using Azure, AWS, and Databricks.
✅ AI Evaluation & Optimization – Fine-tuning RAG pipelines for better accuracy, latency, and cost-efficiency.

Industries & Use Cases
📌 Conversational AI & Chatbots
📌 Knowledge Management Systems
📌 AI-Powered Search & Document Intelligence
📌 AI for Finance, Healthcare, Manufacturing, and Automation

🚀 Whether you're looking to optimize an existing AI pipeline or build an AI-powered product from scratch, I can help you navigate the complexities of Generative AI and LLM-based systems.

Let’s build something intelligent together! 💡