Data platforms. AI systems. The infrastructure between them.
delta 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 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
Loop Engineering: Convergence Is Not Correctness
A loop always converges. That it reached a stable 'done' state tells you nothing about whether that state is correct, because the loop selects for whatever passes your check, not for what you meant. A practitioner's t...
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 Selected publications