Nipun David

I help businesses, engineering teams, and developers design, optimize, and unblock high-performance Generative AI applications. With a focus on turning experimental AI into deterministic, production-grade software, I provide direct architectural mentorship and hands-on debugging to streamline your platform workflows.

Whether you are scaling a multi-agent system, resolving high infrastructure costs, or troubleshooting complex backend pipelines, I help you eliminate bottlenecks across cloud-native environments.

🎯 WHERE I CAN UNBLOCK YOU IMMEDIATELY:

• Agentic Workflows & Orchestration: Multi-agent state machine design using LangGraph, handling long-running state persistence, tool calling, and autonomous self-correction loops.
• RAG & Multimodal Search Architecture: Advanced data engineering pipelines, vector database optimization, semantic caching implementation, and real-time document intelligence layers.
• Secure Text-to-SQL Pipelines: Setting up reliable text-to-SQL logic, schema-mapping techniques, and robust enterprise guardrails to ensure precise execution.
• Enterprise AI Safety & Guardrails: Implementing custom validation layers, dynamic prompt routing, rate-limiting, and evaluation suites to measure accuracy, latency, and cost-efficiency.
• End-to-End Cloud-Native Engineering: Scaling production microservices using Python and FastAPI, managing distributed systems architecture, and optimizing P95/P99 latency bounds.

🚀 USE CASES WE CAN ACCELERATE TOGETHER:

• Highly reliable conversational AI systems and advanced chatbots
• Intelligent enterprise knowledge management and AI-powered document search
• Automation tools and deep analytical analytics architectures for complex data environments

If you are trying to optimize an existing production pipeline, transition a proof-of-concept (POC) to a secure enterprise framework, or need real-time debugging assistance on Python or LangGraph stacks—let's connect and get your code unblocked.