Projects

Multi-agent AI orchestration platform enabling intelligent task automation through coordinated agent networks. Built with LangGraph for state management and agentic workflows. Features 8 specialized agents, live prompt engineering, NLP scheduling, performance analytics, and real-time streaming SSE responses.

Enterprise Digital Lifecycle Intelligence platform providing comprehensive digital transformation analysis and code generation. Features 22 integrated views, 41 REST endpoints, and extensive test coverage across 6 languages and 24 framework code generation targets.

Fully autonomous machine learning pipeline powered by LangGraph that takes raw data and plain-English objectives, then executes the entire ML lifecycle — profiling, feature engineering, visualization, model training, evaluation — with an LLM-powered Critic that reviews results and iterates until quality thresholds are met. No notebooks. No manual tuning. Just outcomes.

Docker-based platform that orchestrates, discovers, and exposes multiple MCP servers through a unified gateway with real-time dashboard, Python SDK, and tool-level analytics. Brings Kubernetes-style governance to the Model Context Protocol ecosystem — centralized control over which AI tools are available, who can access them, and how they perform.

Multi-agent reasoning pipeline powered by LangGraph that decomposes complex problems through five specialized agents — Thinker, Planner, Critic, Solver, Judge — with 15 tools across research, analysis, code, math, and documents. Autonomous revision loops iterate until quality thresholds are met.