A portfolio of hands-on AI systems demonstrating autonomous agents, multi-agent orchestration, Retrieval-Augmented Generation (RAG), tool use, workflow state management, evaluation concepts, privacy-oriented controls, and business-focused AI delivery.
These projects were developed to demonstrate how agentic AI can be applied to business research, decision support, and coordinated multi-agent workflows. Public demos use sanitized or simulated data where appropriate.
A goal-oriented research agent that coordinates multiple tools to assemble evidence, analyze sentiment, retrieve relevant research, and synthesize a structured financial briefing.
A coordinated underwriting workflow using a Supervisor and specialized agents for credit, income, assets, collateral, review, and final decision support.
A decision-support concept that combines quantitative financial performance with qualitative company AI-strategy research to evaluate both business strength and innovation potential.
My focus is not only on making an agent run. I approach AI systems as programs that require clear business objectives, defined workflows, state and dependency management, measurable acceptance criteria, risk controls, testing, documentation, and stakeholder-ready communication.
Target roles:
AI Program Manager
Technical Program Manager — AI
Agentic AI Program Lead
AI Transformation / Enablement Lead
Focus:
Bridging business objectives, technical teams, AI system design, governance, and delivery.