Wahid A.

Enterprise AI Architect | Agentic AI, RAG & AI Automation

I architect production AI systems where reliability, scale, security, and business workflows matter not just whether an LLM demo works. From 40M+ enterprise records and RAG platforms to agentic healthcare and legal systems, I design the architecture, build the critical components, integrate the surrounding systems, and take AI into production.. If you're looking for an AI Architect, AI Engineer, Generative AI Engineer, or AI Agent Developer who can take ownership beyond simply connecting an LLM to an API, you're in the right place. I specialize in designing and developing Generative AI, Agentic AI, AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), AI Automation, conversational AI, and AI-powered SaaS platforms. I work across the complete AI lifecycle understanding the business problem, identifying the right AI use case, designing the architecture, building the system, integrating APIs and data sources, deploying to production, and improving reliability, performance, and cost. What I build → AI Agents & Multi-Agent Systems — autonomous workflows, tool calling, orchestration, memory, human-in-the-loop and approval-based AI actions → RAG & Enterprise Knowledge Systems — semantic search, document retrieval, knowledge bases, vector search and grounded LLM responses → AI Automation — intelligent workflows that automate repetitive business operations and connect AI with existing systems → Enterprise AI Platforms — secure, scalable and multi-tenant AI applications designed for real production environments → Intelligent Document Processing — document understanding, extraction, classification and structured AI outputs → Conversational AI — context-aware assistants, enterprise chatbots and domain-specific AI applications → AI-native SaaS — multi-tenant architectures, APIs, workflows, authentication, observability and scalable backend systems Selected experience Enterprise AI Knowledge Platform Architected an AI-powered knowledge platform handling 40M+ business records, combining semantic retrieval, intelligent document discovery and production-grade RAG for large-scale enterprise data. Legal AI Platform Built AI-powered legal workflows involving document intelligence, structured extraction, knowledge retrieval, compliance automation and secure multi-tenant architecture. Healthcare AI Platform Designed AI-agent workflows, RAG systems, human-in-the-loop processes and workflow orchestration for production healthcare applications. Enterprise AI & Automation Delivered AI-powered research, workflow automation, approval systems, audit trails, role-based access and intelligent business operations across multiple enterprise environments. Core technology AI / LLM: OpenAI, Claude, Gemini, LangGraph, LangChain, LlamaIndex, RAG, AI Agents, MCP Backend: Python, FastAPI, Django, PostgreSQL, PGVector, Redis, Celery, Temporal Cloud & Infrastructure: AWS, Docker, Linux, Nginx, GitHub Actions Frontend: Next.js, React, TypeScript Industries: Healthcare • LegalTech • FinTech • Real Estate • Government • Enterprise Research • SaaS I care about more than getting an AI demo to work. My focus is accuracy, scalability, security, observability, maintainability, and measurable business value. Have an AI initiative that needs to move from idea to production? Let's discuss the problem you're trying to solve and build the right system around it. — Wahid Ali