This repository contains a collection of agentic AI projects exploring how large language models LLMs can interact with tools, data, and users in structured, goal-oriented workflows.
The focus is on building practical systems that combine:
- LLM reasoning
- Tool usage (APIs, notifications, etc.)
- Real-world interaction (user interfaces, automation)
Each project lives in its own folder and includes a dedicated README with:
- Project overview
- Setup instructions (if specific)
- Usage examples
agenticAI/
├── project_1/
│ └── README.md
├── project_2/
│ └── README.md
└── ...
An agentic AI assistant that represents me in a conversational setting.
It can answer questions about my background, research, projects, and career journey through a Gradio interface.
The system combines:
- Structured personal knowledge (CV, resume, projects)
- Tool usage (e.g., push notifications when unsure)
- Conversational reasoning
👉 In short: it’s a chatbot that can speak on my behalf.
Give it a try 👇
🔗 https://huggingface.co/spaces/elcapizevaz13/career_conversation
👉 Learn more and run it locally: interactive_resume/README.md
Deployment instructions are also included there.---
This project implements a multi-agent AI architecture for automatically improving and rewriting resumes for candidates targeting roles in Data Science and AI Engineering.
It uses a hierarchical system of agents: an Advisor Manager that synthesizes expert feedback from multiple AI tools, and a Writer Agent that produces a final polished resume.
This project turns unstructured piano practice notes into structured, queryable data using an agent-based pipeline.
Instead of forcing rigid input during practice, I keep natural, free-form notes and use AI agents to parse, normalize, and store them automatically.
(More projects will be added here over time.)
To run any of the projects in this repository, follow the general setup guide:
👉 See SETUP.md
Each project may also include additional setup instructions specific to its tools or dependencies.
This repository is an ongoing effort to:
- Explore agentic workflows
- Build modular, reusable AI systems
- Demonstrate practical applications of LLMs beyond simple prompting
This is an active, evolving repository. New projects and improvements will be added regularly.
Some projects may:
- Require API keys (stored securely using
.env, seeSETUP.md) - Use third-party tools or services
- Include experimental features
Please refer to each project's README for details.