In-depth explorations of machine learning optimization, systems programming, and production-grade implementations.
Each article combines theory with practical code examples and real-world deployment strategies.
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TinyLlama Q8K Quantization Engine - CPU-Optimized LLM with Rust/Candle
📅 December 15, 2024⏱️ 15 min read🔥 Featured
Advanced Q8K quantization implementation for TinyLlama-1.1B-Chat model using Rust and Candle framework.
Features sophisticated permutation strategies (SVD-Importance, QR-Pivot), 3-tier validation pipeline,
and production Docker deployment with interactive Angular chat interface. Reduces model size by 4x
(from ~5GB to ~1.3GB) while maintaining <0.1% mean relative error.
Node.js Backend Architecture - Production Patterns
📅 Q1 2026⏱️ ~20 min read
Deep dive into building scalable Node.js backends with Express, Redis, MongoDB, and WebSocket.
Covers authentication strategies, rate limiting, spam prevention, and multi-tier validation.
Node.jsExpressRedisMongoDB
Article in Progress
Coming Soon
Rust for Systems Programming - Memory Safety Without Garbage Collection
📅 Q2 2026⏱️ ~18 min read
Exploration of Rust's ownership model, borrowing rules, and zero-cost abstractions.
Practical examples of building high-performance systems without runtime overhead.
RustMemory ManagementPerformance
Article in Progress
Coming Soon
Multi-Instance Docker Orchestration with Node.js
📅 Q2 2026⏱️ ~12 min read
Building a production-grade Docker container pool manager with Node.js. Load balancing,
health checks, graceful degradation, and automated cleanup strategies.