Machine Learning / AI

TaskPilot AI

Autonomous Workflow Execution System

Overview

TaskPilot AI is an autonomous workflow execution system that leverages large language models to interpret and execute complex multi-step tasks. The system uses RAG (Retrieval-Augmented Generation) to ground task execution in relevant context from internal documents, ensuring accurate and contextual responses.

Key Highlights

  • Built an AI workflow engine using OpenAI APIs, FAISS vector search, and FastAPI to interpret and execute 1,000+ multi-step task scenarios
  • Implemented retrieval-augmented planning with semantic indexing to ground task execution across 50K+ internal documents
  • Developed dynamic tool-routing layers integrating REST APIs, PostgreSQL, and AWS services, enabling automated execution with sub-400ms response latency
  • Designed feedback, verification, and rollback mechanisms with confidence scoring and retry policies, reducing execution failures by ~22%

Technologies Used

Large Language Models (GPT-based, OpenAI API, HuggingFace)Prompt EngineeringTool and Function CallingRetrieval-Augmented Generation (RAG)Embedding ModelsSemantic RetrievalAutonomous ReasoningDecision Orchestration