Hands‑On: Building a Zero‑Dependency Pure‑Python GGUF Model Loader with Memory‑Mapped Tensor Access
A lightweight, dependency‑free Python loader for GGUF models that uses memory‑mapped files and on‑the‑fly dtype conversion, perfect for a standout CV project.
Build a LoRA Trainer in Pure NumPy: A Portfolio Project That Signals Systems Mastery
A hands-on build guide for a LoRA adapter trainer with fused low-rank gradients and adapter-aware inference in pure NumPy — the kind of project that signals deep ML and systems expertise to hiring managers.
Mastering the WiredTiger Storage Engine: Configuring Checkpoint Compression for High‑Throughput OLTP
This post explores practical configuration strategies for WiredTiger checkpoint compression, showing how to maximize throughput while controlling CPU and I/O costs.
Implementing OpenTelemetry Context Propagation Across Distributed Traces and Metrics Pipelines
Learn how OpenTelemetry context propagation works across distributed traces and metrics pipelines, covering W3C standards, baggage management, and production-ready patterns for correlated observability.
Build a LoRA Fine-Tuning Engine from Scratch in Pure NumPy
A hands-on guide to building a LoRA fine-tuning engine entirely in NumPy, covering low-rank decomposition, gradient computation, and adapter updates with zero deep-learning framework dependencies.