🎯 Agentic AI Engineer specializing in autonomous reasoning systems, multi-agent architectures, and production AI deployments for financial markets and enterprise applications
🔥 Active Projects:
- Designing autonomous agent systems that execute complex trading strategies with real-time market reasoning
- Engineering multi-agent frameworks that orchestrate LLMs, tools, and knowledge bases for enterprise workflows
- Building production agentic systems with memory, planning, and self-correction capabilities
- Deploying AI agents that autonomously process, analyze, and act on financial data streams
⚡ Current Stack: LLM agent frameworks (LangGraph, AutoGen, CrewAI), ReAct/CoT reasoning patterns, vector databases, tool-calling architectures, agent orchestration
🤖 Agentic Capabilities: Multi-step reasoning, autonomous tool use, memory systems (episodic/semantic), agent collaboration, self-evaluation loops
📈 Quantitative Applications: Autonomous research agents for market intelligence, risk assessment agents with chain-of-thought reasoning, multi-agent systems for portfolio optimization
💼 Seeking partnerships for:
- Production agentic AI systems with measurable business impact and ROI
- Multi-agent architectures for quantitative finance and automated decision-making
- Open-source agent frameworks and reasoning tools that advance the field
- Research on agent reliability, safety, and evaluation in high-stakes environments
🧬 Heritage: Building on my father's computational linguistics foundations—where he created software that understood language, I'm engineering AI systems that reason, plan, and act autonomously. Scaling from language understanding to agentic intelligence that solves complex, multi-step problems.
Ready to deploy AI agents that don't just analyze, they think, decide, and execute. Let's build autonomous systems that create real value.