My Engineering Daybook

Personal notes from the freeCodeCamp Production RAG course, covering the full pipeline from document loading and chunking strategies to hybrid search, vector database tuning, production API architecture, Agentic RAG with LangGraph, and advanced topics like GraphRAG, Contextual Retrieval, and Multimodal RAG.

A step-by-step walkthrough of building a digit classifier using the MNIST dataset, starting from raw pixel math, building up through PyTorch layers, and finishing with all 10 digits at 99% accuracy using ResNet18 and fastai.

Building a multi-class image classification model using fastai to identify four types of game controllers (PS5, Xbox Series X, Nintendo Switch Pro, and GameCube). Covers data collection, cleaning, fine-tuning ResNet18, and achieving 97.4% validation accuracy with minimal data.

My thoughts, decisions, and the problems I ran into while building a micro-services-based file storage system using Bun, AWS S3, and Qwik.