Yasmeena H.

I architect and engineer intelligent AI systems that connect business logic, data, and automation into solutions built for real-world operations. From autonomous AI agents and enterprise knowledge systems to complex workflow automation, I help businesses move from fragmented processes to intelligent, scalable systems with the architecture, integrations, and reliability required for production. I’m an AI Automation Architect and AI Engineer specializing in designing and developing production-ready AI solutions that solve operational challenges, streamline workflows, and extend the capabilities of existing products. My work spans the full lifecycle of AI development from understanding the business problem and defining the system architecture to implementation, integration, and deployment. AI Systems I Build **AI Agents & Agentic AI** - AI agents with tool calling, memory, structured outputs, and guardrails - Multi-agent systems for complex, multi-step tasks - AI assistants connected to business tools, APIs, and internal systems - Agentic workflows with human-in-the-loop review and approval AI Automation & Workflow Engineering - End-to-end business process automation - Intelligent workflows that connect multiple systems and services - API integrations, webhooks, and event-driven automation - Workflow orchestration using Temporal, n8n, and custom Python services - Human-in-the-loop workflows for validation, approvals, and exception handling RAG & Enterprise Knowledge Systems - Retrieval-Augmented Generation (RAG) applications - AI-powered document processing and knowledge retrieval - Enterprise search and knowledge-base assistants - Semantic search, hybrid retrieval, and citation-based responses - Vector database integrations using pgvector, Pinecone, and ChromaDB **AI Application & Backend Development** - FastAPI and Python backend architecture - AI-powered web applications using React and Next.js - LLM integrations with OpenAI and Claude - PostgreSQL, Redis, Docker, and AWS - Secure integrations with internal platforms and third-party APIs How I Approach AI Projects Every AI solution should serve a clear business purpose. I begin by understanding your existing process, identifying where AI can create meaningful value, and designing a practical architecture around your requirements. From there, I focus on building systems that are maintainable, observable, and dependable beyond the initial prototype. My approach combines **AI engineering, workflow design, backend development, and business-focused problem solving so the result is not simply an AI demo, but a system your team can actually use. Technical Expertise AI Automation • AI Agents • Agentic AI • AI Agent Development • Generative AI • LLM Integration • OpenAI API • Claude • RAG • Retrieval-Augmented Generation • LangGraph • LangChain • OpenAI Agents SDK • FastAPI • Python • PostgreSQL • Redis • pgvector • Pinecone • ChromaDB • MCP • Temporal • n8n • API Integration • Webhooks • React • Next.js • Docker • AWS Industries HealthTech • LegalTech • FinTech • Real Estate • Enterprise SaaS If you’re building an AI-powered product, automating complex business workflows, or integrating intelligent systems into your existing platform, I can help you define the right approach and engineer a solution aligned with your business goals.