AI Agent Frameworks
I build autonomous agents that can research, reason, and execute multi-step tasks. Here's my experience with the major frameworks.
Frameworks I Work With
LangChain
My go-to for RAG pipelines and document Q&A systems. Well-documented, huge ecosystem.
LangGraph
For complex workflows with cycles and state. I use it when agents need to iterate and refine.
CrewAI
Multi-agent teams where specialists collaborate. Great for research and content workflows.
AutoGen
Microsoft's framework for conversational agents. Good for code generation tasks.
Agents I've Built
Research Agent
Searches ArXiv, summarizes papers, and generates weekly digests of ML research relevant to my work.
Code Review Agent
Reviews PRs, checks for common issues, suggests improvements. Uses LangGraph for iterative refinement.
Documentation Agent
Reads codebases and generates documentation. CrewAI with researcher + writer agents.
Data Pipeline Agent
Monitors data quality, alerts on issues, and can auto-fix common problems.
Design Patterns I Use
Technology Stack
Expertise by Sumit Chatterjee
Industrial Light & Magic, Sydney