🔭 I’m currently working on:
Building backend systems that power agentic AI workflows — connecting large-language models with vector databases and reactive front-end apps.

👯 I’m looking to collaborate on:
Projects that merge natural language UX with scalable architecture — like AI agents, embedding/RAG pipelines, serverless data services, or interactive React + TypeScript interfaces.

🤝 I’m looking for help with:
Optimizing vector-db-backed retrieval systems, designing robust serverless AWS infrastructure, and fine-tuning agent orchestration for real-world use cases.

🌱 I’m currently learning:
Advanced agent orchestration patterns, scalable serverless deployments, and best practices for embedding, retrieval, and LLM-powered backend pipelines.

💬 Ask me about:
How to build AI-backed services using Python + FastAPI + PydanticAI, integrating LLMs (OpenAI, Gemini, etc.) with vector stores like Pinecone, and building scalable front-end + backend systems with React, TypeScript, and AWS.

⚡ Fun fact:
I enjoy creating systems where a simple natural language prompt can trigger a chain of backend workflows to deliver real, actionable results for users.