Stop wasting time over-tuning XGBoost on small datasets. Senior developer Ahmad Wael explains why using a Tabular Foundation Model like TabPFN is the pragmatic choice for messy, small-scale data. Learn how in-context learning provides better accuracy than traditional machine learning for typical WordPress and WooCommerce data challenges without the overfitting nightmare.
Stop the nightmare of inconsistent AI results. Learn how a Senior WordPress developer uses Custom AI Assistants to codify expertise, save hours on WooCommerce support, and ensure team-wide consistency. Discover the MATCH framework for turning messy prompts into reliable, shared technical partners that actually understand your coding standards and constraints.
Tired of your object detection model missing small objects? Senior dev Ahmad Wael breaks down how to Master YOLOv1 Loss Function implementation. Learn why standard MSE fails, how to use square root scaling for bounding boxes, and see a practical PyTorch implementation for reliable machine learning results.
Struggling with AI hallucinations in your applications? Senior developer Ahmad Wael dives into the Prompt Engineering vs RAG debate, sharing a real-world story of resume-editing gone wrong. Learn why groundedness matters and how to build AI tools that prioritize truth over eloquent lies using Azure and vector indexing.
Stop building fragile AI demos. I’ll show you how to use Nvidia’s NeMo Agent Toolkit to build reliable, production-ready LLM agents. Learn to solve ‘day 2’ problems like observability and deployment for your AI projects. Get your integrations working without hallucinations or timeouts.
Mastering Effective AI Programming requires moving beyond simple prompts. Learn how to provide strict technical context, use Markdown schema files, and bridge the gap between oral meetings and AI coding agents to eliminate hallucinations and save thousands of tokens on your next WordPress or WooCommerce development project.
Stop letting your expensive user research gather digital dust. In this post, senior dev Ahmad Wael explains how to use AI to create virtual personas—interactive repositories that allow your team to ‘ask’ the data questions in real-time. Learn the technical setup and the common pitfalls to avoid.
Master the Actor-Critic Method in reinforcement learning. Senior developer Ahmad Wael shares his 14+ years of experience fixing the “moving target” bug, optimizing reward engineering, and why this method beats REINFORCE for real-time AI. Learn how to stabilize your deep learning models and avoid common implementation nightmares with practical code examples.
Agentic AI systems are great for making decisions, but they often fail traditional medical metrics like AUC. In this post, I break down why binary outputs are a nightmare for risk ranking and share 6 senior-level strategies for deriving continuous scores from your AI agents to ensure fair model comparisons.
Choosing between an AI Engineer vs Machine Learning Engineer is a critical decision for your project. One integrates powerful pre-built models, while the other builds custom algorithms from scratch. Ahmad Wael breaks down the technical differences, the skill sets involved, and how to avoid the “prestige hiring” trap that wastes budget and time.