TeamAI Platform

• Description: TeamAI is a collaborative multi-agent AI platform that enables teams to build, configure, and deploy specialized AI agents for complex workflow automation. As an AI Team Lead, I architected and developed a comprehensive platform that allows users to visually configure agents with distinct roles, assign specialized capabilities, and orchestrate them to execute real-world tasks collaboratively. The platform features multi-LLM support, no-code agent creation, workflow automation, shared knowledge bases, and enterprise-grade collaboration tools designed for developers building AI-powered automation solutions.

• Project Overview:

  • Architect and develop a comprehensive multi-agent AI collaboration platform from the ground up.
  • Implement visual agent configuration system allowing users to create specialized AI agents with distinct roles and capabilities.
  • Design and build workflow orchestration engine for complex multi-step task automation.
  • Integrate multiple LLM providers (OpenAI, Anthropic, Claude, Google) for diverse AI capabilities.
  • Create no-code agent builder with drag-and-drop interface for non-technical users.
  • Develop shared knowledge base system for collaborative document management and AI training.
  • Implement real-time collaboration features for team-based agent development and deployment.
  • Build enterprise-grade security, user management, and workspace organization features.
  • Design scalable architecture to handle multiple concurrent agent executions and workflows.
  • Create comprehensive API ecosystem for third-party integrations and custom tool development.

• Technologies Used:

  • React
  • Node.js
  • Python
  • FastAPI
  • PostgreSQL
  • OpenAI
  • Anthropic
  • Claude
  • Multi-LLM Integration
  • Docker
  • Kubernetes
  • AWS

• Role: As an AI Team Lead, I was responsible for leading the technical architecture and development of the entire platform, overseeing the implementation of multi-agent systems, designing the workflow orchestration engine, managing integrations with various LLM providers, and ensuring the platform's scalability and enterprise readiness for collaborative AI automation workflows.

• Key Features Implemented:

  • Multi-Agent Orchestration: Built sophisticated agent coordination system allowing multiple AI agents to work collaboratively on complex tasks with role-based specialization.
  • Visual Workflow Builder: Developed intuitive drag-and-drop interface for creating complex multi-step workflows without coding requirements.
  • Multi-LLM Integration: Implemented seamless integration with multiple AI model providers enabling users to leverage the best model for each specific task.
  • Shared Knowledge Base: Created collaborative document management system with AI-powered search and retrieval capabilities.
  • Real-time Collaboration: Built team-based features allowing multiple users to collaborate on agent development and workflow design.
  • Enterprise Security: Implemented comprehensive authentication, authorization, and workspace isolation for enterprise deployment.
  • Custom Tool Integration: Developed extensible plugin system for integrating third-party tools and APIs into agent workflows.
  • Performance Monitoring: Created comprehensive analytics and monitoring dashboard for tracking agent performance and workflow efficiency.

• Client Requirement:

  • Develop a platform for building collaborative multi-agent AI systems that execute complex workflows.
  • Enable visual configuration of AI agents with specialized roles and capabilities.
  • Provide seamless integration with multiple LLM providers for diverse AI capabilities.
  • Create enterprise-grade collaboration tools for team-based AI development.
  • Implement workflow automation capabilities for real-world task deployment.
  • Ensure scalability and security for enterprise-level usage.
  • Design intuitive no-code interface accessible to developers and business users alike.

Live project demo and proof of work is available on request!