Enhance Dashboards with Agentic AI

I have built several basic dashboards using Claude Cowork, initially focused on portfolio management, investment analysis and stock analysis. The dashboards currently provide a visual output, but I want to develop the underlying applications further so that I can understand, modify and extend both the analysis logic and the front-end code myself. I am looking for a developer with experience in AI-assisted development and agentic AI who can work with me on my existing projects while teaching me good development practices. The work would include: Reviewing my existing HTML/JavaScript/JSON code and project structure Helping me set up a clean development environment and workflow (Cursor, Claude Code, Git/GitHub, etc.) Teaching me how to understand and modify AI-generated code Separating the analysis/calculation layer from the dashboard/interface Introducing Python and/or other appropriate backend technologies where useful Connecting dashboards to APIs, databases and external data sources Implementing LLM and agentic-AI functionality where it adds value Helping with debugging, version control, testing and deployment Answering questions and pair-programming with me as I progressively make changes myself The initial use cases will involve portfolio monitoring, financial analysis and equity/stock research, with the possibility of expanding to other applications later. I am not looking to outsource the development entirely. The objective is to work alongside an experienced developer who can help improve the applications while teaching me enough practical development and AI implementation skills to become increasingly independent. Ideal experience: Python, JavaScript/TypeScript, APIs, Git, databases, LLM APIs, AI coding tools (Claude/Cursor), agentic workflows and financial-data applications.