Data platforms. AI systems. The infrastructure between them.
Head of Data & Analytics and Site Lead at Google Cloud, leading Data & AI innovation and transformation across Southeast Asia. I publish research on multi-agent systems, inference optimization, and AI safety, and write the practitioner's notes behind it, from inside real production systems.
01 Now
ICLR 2026 workshop paper on LLM safety, and compute primitives for orbital environments.
New ventures at the frontier; conversations with research labs and founders.
Fused MoE kernels, circuit tracing in production, and bets on model honesty.
02 Latest
I Trained Three Models Against the Rubric I Published in January. Two Learned to Game It.
In January I argued that RLVR needs verification correlated with quality, not perfect verification. I tested that on my own published rubric: GRPO on Qwen3.5 0.8B, 2B, and 9B, scored by three independent judges. Two m...
Read the essay →03 Selected writing
04 Research focus
Multi-agent systems
Coordination, debate, and verification for AI that runs unattended.
/ 02Inference optimization
Fused MoE dispatch, speculative decoding, custom Triton kernels.
/ 03AI safety & interpretability
Circuit tracing, activation steering, sandbagging detection.
/ 04Distributed systems
Formal synthesis and correct-by-construction architectures.
05 Instruments
All instruments →06 Selected publications