Wahid A.

I architect and build production AI systems that turn complex business workflows into reliable, intelligent software. I’m not here to bolt a chatbot onto your product or deliver an impressive demo that breaks in production. I work with businesses that need AI to do real work: retrieve trusted information, reason across complex workflows, coordinate tools and services, automate decisions with appropriate human oversight, and operate reliably at scale. My focus is the engineering behind useful AI products architecture, orchestration, retrieval, integrations, reliability, and deployment. WHAT I BUILD ▪ Agentic AI Systems & Multi-Agent Workflows AI systems that coordinate tools, services, and multi-step processes using structured workflows, controlled execution, and human-in-the-loop checkpoints where needed. ▪ Enterprise RAG & Knowledge Platforms Retrieval systems that connect LLMs to business data, documents, and internal knowledge—with attention to retrieval quality, grounding, access boundaries, and production behavior. ▪ LLM Infrastructure & Orchestration LLM integrations and gateway-based architectures using platforms and frameworks such as LiteLLM, LangGraph, LangChain, and provider APIs. I focus on connecting models to real applications and making the surrounding system maintainable. ▪ AI Workflow Automation Backend workflows that connect AI with APIs, databases, business systems, and operational processes moving beyond generated text toward useful, trackable execution. ▪ Production AI SaaS & Architecture End-to-end technical delivery across Python, FastAPI, PostgreSQL, vector databases, Redis, Temporal, Docker, AWS, and modern application stacks. PRODUCTION AI EXPERIENCE I’ve worked across healthcare, LegalTech, government-oriented systems, real estate, and enterprise knowledge platforms building AI capabilities designed for real business workflows. Healthcare AI: Production AI workflows with LLM integration and LiteLLM Proxy used as an LLM gateway. LegalTech AI: AI-powered workflows for complex, document-intensive processes. Government-oriented AI: AI solutions supporting structured information and operational workflows. Real Estate AI: AI-enabled SaaS workflows involving business data, retrieval, and automation. Enterprise Knowledge Systems: AI solutions designed to work with more than 40 million business records. Across these engagements, my focus has been on the engineering behind production AI: system architecture, data flow, LLM integration, retrieval, orchestration, backend services, and maintainability. I respect client confidentiality, so I discuss project details at an appropriate level and share specific implementation details only when authorized. I approach these projects as software systems not isolated prompts. That means thinking through architecture, data flow, integrations, failure handling, maintainability, and the path from prototype to production. HOW I WORK For complex engagements, I can contribute across the full technical lifecycle: 1. Understand the business problem and existing system. 2. Define the architecture, constraints, and implementation plan. 3. Build and integrate the core AI components. 4. Validate behavior, reliability, and production readiness. 5. Document the system and support a clean handoff. I’m comfortable owning the difficult engineering layer while collaborating with product, backend, frontend, and business teams. TECHNOLOGY AI & LLMs: OpenAI, Claude, Gemini, LiteLLM, LangGraph, LangChain, LlamaIndex, RAG, MCP Backend & Data: Python, FastAPI, Django, PostgreSQL, PGVector, Redis, Celery, Temporal Infrastructure:Docker, AWS, Linux, Nginx, CI/CD Application Development:React, Next.js, TypeScript WHO I WORK BEST WITH I’m a strong fit for teams that already have a meaningful product or business workflow and need experienced engineering to make AI useful, dependable, and production-ready. If you need a quick proof of concept, I can help establish the right technical direction. If you need a production system, I can work through the architecture and engineering required to build it properly. Tell me what your AI system needs to accomplish, what you already have, and where it is getting stuck. I’ll help identify the right technical path.