Engineering essays from the bench.
War stories, architecture decisions, and the occasional tirade. Written by the engineers who shipped it.
Computer Vision for Manufacturing Quality Control
Discover how computer vision and deep learning are revolutionizing manufacturing quality control with automated defect detection, real-time inspection, and predictive quality.
Building AI-Powered Customer Support Systems That Actually Work
A practical guide to building AI customer support systems that resolve issues effectively, covering architecture, intent recognition, escalation logic, and evaluation.
Responsible AI: Addressing Bias and Fairness in Machine Learning
A practical framework for identifying, measuring, and mitigating bias in machine learning systems, covering data auditing, fairness metrics, and organizational practices.
Fine-Tuning Large Language Models for Enterprise Use Cases
Learn when and how to fine-tune LLMs for enterprise applications, covering data preparation, training techniques like LoRA and QLoRA, evaluation strategies, and deployment.
Predictive Analytics for Supply Chain Optimization
Explore how predictive analytics and machine learning optimize supply chain operations, from demand forecasting and inventory management to logistics and risk mitigation.
Feature Stores: The Missing Piece in Your ML Infrastructure
Understand what feature stores are, why they matter for production ML systems, and how to implement one using tools like Feast, Tecton, and custom solutions.
Vector Databases and Semantic Search: A Practical Guide
A hands-on guide to vector databases and semantic search, covering embeddings, indexing algorithms, database selection, and building production search systems.
Edge AI: Running ML Models on IoT Devices
Learn how to deploy machine learning models on edge and IoT devices, covering model optimization, hardware selection, frameworks like TensorFlow Lite, and real-world use cases.
