The Future of Distributed AI Systems
How federated learning and edge computing are reshaping AI infrastructure — lessons from building a privacy-preserving fraud detection system with 91% accuracy.
Insights on AI systems, distributed architecture, and high-performance web development.
How federated learning and edge computing are reshaping AI infrastructure — lessons from building a privacy-preserving fraud detection system with 91% accuracy.
Hard-won lessons from building a 3D portfolio with Three.js and React Three Fiber — instancing, texture compression, context management, and why your GPU is probably doing more work than it needs to.
Why knowledge graphs outperform pure vector databases for complex reasoning tasks — and the architecture decisions behind building a real-time GraphRAG assistant with Neo4j, FAISS, and LangGraph.
Why Server Actions are the most underrated feature in modern React — and how to use them to build end-to-end type-safe full-stack applications without a separate API layer.
Building a decentralized freelance marketplace on Ethereum exposed every gap between smart contract theory and production reality — re-entrancy, gas costs, oracle problems, and why trustless does not mean frictionless.