Member of Google Cloud's elite delta team architecting enterprise AI solutions at scale across Japan-Asia Pacific region. Bridging whiteboard vision to sustainable implementation for large-scale digital transformation initiatives.

Completed framework for automated synthesis and verification of distributed systems using formal methods and machine learning. Published on TD Commons with open-source implementation. Achieves 274x speedup for verification with 60% latency reduction in production systems.

Building production-ready multi-agent systems for autonomous data pipeline management. Industry-agnostic framework that handles data quality, orchestration, and monitoring with AI agents collaborating in real-time.

Advancing the field-theoretic approach to context modeling in AI systems. Working on efficient implementation patterns and real-world validation across enterprise use cases.