I am an LLM Engineer II with over 3 years of experience specializing in bridging the gap between advanced research and production-grade AI systems. My expertise lies in designing and scaling autonomous multi-agent networks that handle complex reasoning tasks while maintaining high reliability.
I support my clients by providing:
– Agentic Orchestration: Architecting sophisticated workflows using frameworks like LangGraph and CrewAI to automate end-to-end processes.
– Performance Engineering: Optimizing AI pipelines to achieve sub-second latency and implementing dynamic model routing to minimize costs.
– System Reliability: Building self-correction and reflection cycles into agentic frameworks to ensure high-fidelity production outputs.
– Strategic Technical Advice: Leveraging experience as a patent-pending co-inventor to help define needs and launch scalable, AI-native projects.
I focus on creating efficient, scalable solutions that allow my clients to move fast and focus on their core growth.