Lead development of production agentic AI systems: reasoning, planning, tool orchestration, memory and grounding, evaluation frameworks, and multimodal agent coordination across chat, voice, and UI. Translate research into reliable, testable systems and iterate with founders and customers.

Build and scale reliable browser automation systems and execution infrastructure. Design stealth automation engines using browser fingerprinting and proxy management, orchestrate thousands of concurrent long-running workflows, and implement AI-assisted, self-healing scripts that adapt to dynamic UIs and maintain high consistency and low latency in production.

Build and own core backend infrastructure for long-running agentic AI workflows, ensuring high reliability, observability, disaster recovery, secure execution sandboxes, HIPAA-compliant data handling, and production-grade IAM and secrets management.