- Building scalable backend applications
- Creating AI agents using LLMs, embeddings, and collaborative agent protocols
- Leveraging automation and multi-agent collaboration to improve team workflows
- Applying cloud computing, OpenAI, and machine learning to real-world problems
- Building intelligent AI agents using LangChain, LangGraph, Ollama, FAISS, ClaudeAI, OpenAI
- Implementing multi-agent collaboration with MCP for context-aware async workflows
- Applying LLMs to automate summaries, organize team updates, and structure conversations
- Exploring semantic search, embeddings, and memory for multi-turn interactions
- LLM-based AI agents
- MCP-powered ecosystems for async collaboration and automation
- Cloud-native applications with scalable backend APIs
- B.S. in Computer Science, Arizona State University 🔱 (Graduating May 2026)
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🎓 Certifications: AWS Certified Cloud Practitioner
- I enjoy biking and watching films when I’m not coding or building AI agents 🚴🎬
