Projects

AI Ecosystem — specialized platforms that compose into something greater than the sum of their parts

Commander.ai

Active

Multi-Agent AI Orchestration Platform

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.

Tech Stack

Python
LangGraph
Next.js
PostgreSQL
pgvector
Redis
Qdrant
FastAPI

Key Metrics

8Specialized Agents
Prompt Engineering, NLP Scheduler, Analytics, Agent Collaboration, Workflow Tracing, Reflection & Reflexion Reasoning, PlannerKey Features
Active DevelopmentStatus

WorldMaker.ai

Active

Enterprise Digital Lifecycle Intelligence

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.

Tech Stack

Python
Next.js
TypeScript
Tailwind CSS
FastAPI
React
PostgreSQL
Kubernetes
Docker
Event Driven Architecture

Key Metrics

22Integrated Views
41REST Endpoints
195+ testsTest Coverage
6Languages Supported
24Framework Targets

ml-pipeline.ai

Active

Autonomous ML Pipeline — Raw Data to Trained Model

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.

Tech Stack

Python
LangGraph
Claude Sonnet 4.5
FastAPI
Next.js
scikit-learn
XGBoost
Optuna
Seaborn
Docker

Key Metrics

6Pipeline Phases
Up to 3 autonomous iterationsCritic Loops
58 (36 backend + 22 frontend)Source Files
Real-time streaming dashboardNeural Observatory