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.

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.

Reference implementations of LLM acceleration techniques including speculative decoding (EAGLE, Medusa, tree speculation), KV-cache compression, and custom Triton kernels for transformer operations. Achieves 8.1x speedup with 88% peak bandwidth utilization on A100 GPUs. Open-source repos: speculative-decoding and triton-kernels. Google Technical Disclosure pending.

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