🤖 Autonomous Multi-Agent Architectures
I build active systems where AI agents collaborate to solve complex engineering tasks, moving beyond simple chat interfaces to actionable outcomes.
Project: AI Dev Companion
A comprehensive feedback system where a swarm of specialized agents provides expert-level analysis of your code.
- Multi-Agent Swarm: Orchestrates specialized agents (Syntax, Security, Performance) to analyze code in parallel.
- Contextual Memory: Maintains conversational state for natural, iterative improvements.
- Serverless Architecture: Scalable backend built on AWS Lambda and AWS Bedrock.
- Interactive Mobile Client: Paired with native Android app for on-the-go code review.
Project: Multi-Agent Mobile UI Assistant
An intelligent toolchain that converts natural language and designs into functional UI code.
- Nature Language to UI: Describes interfaces in English to generate Jetpack Compose code.
- Figma Integration: Extracts layouts, colors, and typography directly from Figma via MCP.
- Agentic Pipeline:
- Intent Parser: Understands requirements.
- Layout Planner: Structures the UI hierarchy.
- UI Generator: Writes the Kotlin/Compose code.
- Reviewers: Automated agents check for accessibility and Design System compliance.
- Tech Stack: LangGraph, Streamlit, MCP Tools (Android Lint, Gradle).
🛠Technical Stack
Agent Orchestration
- Frameworks: CrewAI, LangGraph.
- Models: AWS Bedrock, Anthropic Claude.
Backend & Infrastructure
- Serverless: AWS Lambda, Docker.
- API: FastAPI.
Tools & Interface
- UI: Streamlit.
- Protocol: Model Context Protocol (MCP).