Deep-dive technical references distilled from 12+ years of building distributed systems, AI pipelines, and embedded software.
Comprehensive patterns and trade-off frameworks for building distributed systems. Covers scalability, CAP theorem, load balancing, caching, databases, and more.
Prompt engineering, RAG pipelines, fine-tuning strategies, model evaluation, and production deployment of large language models.
OCI and AWS deployment patterns, container orchestration with Kubernetes, CI/CD pipeline design, and observability best practices.
Performance optimization techniques, memory management, modern C++ concurrency patterns, and cross-platform SDK design principles.
Vulnerability identification, secure design patterns, threat modeling, and lessons from resolving critical security issues in enterprise software.