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blackeagle273/README.md

πŸ€– Senior AI Agent Engineer | LangGraph | MCP | Supabase | Multi-Agent Systems

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πŸ‘‹ About Me

I’m John Smith, a Senior AI Agent Engineer based in Toronto, Canada, focused on building production-ready autonomous systems for business automation and decision intelligence.

My work centers on:

  • LangGraph-based multi-agent orchestration
  • MCP tool integration and agent communication
  • Supabase + pgvector retrieval systems
  • Computer-use AI and browser automation
  • ERP, supplier, buyer, and operational data workflows
  • Backend services for intelligent business systems

I build AI agents that can read business systems, reason across structured and unstructured data, and generate context-aware actions or recommendations.


πŸš€ What I Specialize In

AI Agent Systems

  • Multi-Agent Architecture
  • LangGraph Workflows
  • Task Routing and State Management
  • Autonomous Decision Systems
  • Tool-Using AI Agents
  • Agent Memory and Context Design

AI Infrastructure

  • Python
  • FastAPI
  • LangChain
  • MCP
  • OpenAI / Claude / OpenRouter
  • LangSmith Observability

Data & Retrieval

  • Supabase
  • pgvector
  • PostgreSQL
  • Vector Search
  • RAG Pipelines
  • Semantic Retrieval

Computer-Use Automation

  • Playwright
  • Browser Automation
  • Dashboard / ERP Data Extraction
  • OpenClaw-style Agent Design
  • Workflow Automation

Backend & Production Systems

  • Redis
  • API Integrations
  • Async Services
  • Event-Driven Workflows
  • Cloud Deployment
  • Scalable Service Architecture

🧠 Featured Focus

I am especially interested in projects involving:

  • AI agents that interact directly with ERP and business platforms
  • Cross-system reasoning using supplier, buyer, and operations data
  • Autonomous purchasing, recommendation, or workflow agents
  • Production-grade multi-agent systems for SMBs and enterprise teams
  • Low-latency, scalable AI infrastructure with reliable orchestration

πŸ›  Tech Stack

Python LangChain FastAPI Supabase PostgreSQL Redis Playwright TypeScript Node.js Docker


πŸ“Œ Current Direction

  • Building AI agents for business operations and decision support
  • Exploring computer-use AI for ERP and dashboard interaction
  • Designing scalable multi-agent systems with retrieval and tool use
  • Creating production-ready backend systems for autonomous workflows

🀝 Open To

  • Senior AI agent engineering roles
  • Multi-agent system architecture projects
  • LangGraph / MCP implementation work
  • Supabase pgvector and RAG system development
  • ERP automation and intelligent procurement workflows

πŸ“« Contact


⭐ I build AI systems that move beyond chat and take action across real business workflows.

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