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Blog

Notes on AI/ML, large language models, prompt engineering, and building software that ships. Written from hands-on experience.

Jul 10, 20263 min read

Optimizing React Performance with Next.js and Rust

Learn how to improve React application performance using Next.js and Rust. This guide covers optimization techniques and best practices for building high-performance React applications.

ReactNext.jsRust

Jul 9, 20263 min read

Building Scalable MLOps Pipelines with FastAPI and Docker

Learn how to deploy machine learning models using FastAPI and Docker, focusing on scalability and maintainability. This post covers the design of MLOps pipelines and best practices for model deployment.

MLOpsFastAPIDocker

Jul 8, 20263 min read

Fine-Tuning LLMs on a Budget: A Practical Guide

How to fine-tune large language models without a GPU cluster, using LoRA, quantization, and a single consumer GPU. A hands-on walkthrough with code.

LLMPythonMachine Learning

Jul 7, 20262 min read

Prompt Engineering Patterns That Actually Work

Beyond 'be concise', the prompt patterns I reach for in production LLM apps: few-shot scaffolding, structured output, and self-checking chains.

LLMPrompt EngineeringAI