First-principles systems design: latency engineering, context caching, and convincing the CISO on data isolation.
When scaling generative AI into production, unoptimized context windows and re-computed prompt prefixes create an exponential cost curve.
High-dwell time slot placed naturally between analysis sections.
Solutions Consultant, Google Cloud Southeast Asia
Two decades architecting enterprise data and cloud platforms at Google, AWS, VMware, and IBM. Blending cutting-edge AI engineering with a storyteller's perspective to deliver mission-critical, production-tested blueprints.
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In the era of autonomous coding agents, raw syntax generation is solved. The true bottlenecks are ambiguous requirements, unsanctioned tool blast radius, and unverified mock data. Here is the 6-stage architecture for engineering-grade AI software development.
Technical architectural teardown of ayghri/i-have-adhd: Reverse engineering ayghri/i-have-adhd's architectural decisions, concurrency model, and developer primitives.
