Exploring the intersection of artificial intelligence, sustainable infrastructure, and digital public goods. Practical insights from building systems at scale across the Asia-Pacific region.
Implementing RPKI and prefix filtering to secure BGP routing and mitigate prefix hijacking in regional networks.
Technical patterns for building interoperable data APIs with OAuth, consent receipts, and versioning for cross-border systems.
Implementing RPKI and prefix filtering to secure BGP routing and mitigate prefix hijacking in regional networks.
Technical patterns for building interoperable data APIs with OAuth, consent receipts, and versioning for cross-border systems.
Practical techniques for deploying ML models on resource-constrained devices while maintaining performance and efficiency.
A guide to designing affordable, scalable data systems that empower social impact organizations in resource-constrained environments.
Dynamic batching, queue sizing, and GPU utilization strategies to balance latency and throughput in production inference pipelines.
Designing reliable, scalable autonomous agent systems using large language models in enterprise environments.
Implementing eventually consistent sync with CRDTs and merge strategies for applications in low-connectivity and last-mile environments.
Exploring decentralized ML training that keeps sensitive data on-device while still improving global models.