Talib H.

✅ AI agents that connect to business tools and APIs ✅ RAG assistants grounded in company documents ✅ Ruby on Rails development, modernization and AI integration Turn company knowledge into useful answers, automate document processing, or add AI capabilities to an existing SaaS product. I work across AI workflows and backend engineering, from defining the first milestone to integrating features into production applications. RELEVANT PROJECT EXPERIENCE ✔️ Myaigi: Built a RAG-based multi-agent system for an AI coaching platform, using specialized agents and curated content to deliver personalized guidance. ✔️ SaberMine AI: Developed document-processing pipelines that extract structured information with LLMs and feed search and downstream workflows. ✔️ Genkit agent backbone: Designed agent architecture, tool calling and orchestration for multi-step AI tasks. ✔️ SSL certificate platform: Delivered features, maintenance and improvements within a large production Ruby on Rails application. ✔️ Roomer Travel: Contributed to Rails modernization, Stripe upgrades, database performance improvements and AWS delivery workflows. AI DEVELOPMENT & AUTOMATION ✔️ AI agents and multi-agent orchestration ✔️ Retrieval-Augmented Generation, embeddings and semantic search ✔️ Document extraction and structured AI outputs ✔️ AI chatbots and conversational assistants ✔️ OpenAI integrations and API-connected workflows ✔️ AI features for existing web applications and SaaS products RUBY ON RAILS & BACKEND DEVELOPMENT ✔️ Rails application development and ongoing maintenance ✔️ Legacy upgrades and codebase modernization ✔️ PostgreSQL query and database optimization ✔️ REST APIs and third-party integrations ✔️ Booking, marketplace and payment workflows ✔️ React interfaces and Node.js backend services HOW WE WOULD WORK Start with the business problem, existing systems and clear acceptance criteria. Agree on a focused milestone, identify failure cases and access requirements, then build and verify the complete workflow. For AI projects, that means defining the information the model can use, the actions it can take and the checks that belong in application code. CORE STACK Python, TypeScript, JavaScript, Ruby on Rails, Node.js, React, PostgreSQL, LangChain, LangGraph, Genkit, OpenAI and AWS. Send a message with what you want to build or improve, the systems involved and the main obstacle. We can define a practical first milestone.