Publication
Technical Insights.
Deep dives into system architecture, distributed systems at scale, and the practical application of machine learning in modern infrastructure.
Optimizing Inference Latency for Large Language Models in Production Environments.
A production-focused look at reducing LLM response latency through context optimization, continuous batching, KV caching, quantization, intelligent model routing, and GPU-aware inference architecture.
Scaling E-commerce: Beyond the Monolith.
Transitioning a legacy e-commerce platform handling millions of daily transactions to a microservices architecture. A detailed breakdown of the challenges, strategies, and the eventual triumph of a distributed system.
Read ArticleResilience Engineering: Designing for Failure in Multi-Region Cloud Deployments.
A production-focused approach to designing distributed systems that remain operational when regions, databases, networks, and external dependencies inevitably fail.
Read ArticleThe Hidden Costs of Abstraction: When ORMs Become Bottlenecks.
ORMs accelerate development by hiding repetitive persistence logic. At scale, however, that same abstraction can conceal inefficient queries, excessive object hydration, N+1 patterns, and database access strategies that no longer match the workload.
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