I’m currently learning Python and diving into the world of AI agents—building custom tools that streamline tasks, organize workflows, and make everyday operations more efficient. From fitness plans to podcast prep, I’ve been experimenting with automation that saves time and adds real value. As I develop end-to-end agent systems using Python, Streamlit, and tools like LangChain and OpenAI, I’m learning how to integrate memory, interface, and logic into functional prototypes. This is still a work in progress, but I’m energized by the possibilities at the intersection of creativity, systems thinking, and AI.
Python
Streamlit
OpenAI (GPT-4)
LangChain
Vector Stores (e.g., Chroma, FAISS)
APIs
Git/GitHub
VS Code
Replit / Streamlit Cloud
Markdown