Category
AI/ML
32 articles in this category.
AI/ML
Responsible AI: Building Bias Detection and Mitigation into ML Pipelines
Most engineers treat AI ethics as a legal problem. In 2026, it is a reliability problem. Here is how to automate bias detection and mitigation in your production ML pipelines using Fairlearn and CI/CD gates.
June 9, 20266 min read
AI/ML
Beyond Chatbots: Engineering Production-Grade AI Agents with Tool Use
Stop treating LLMs as oracles and start treating them as orchestrators. Learn how to build reliable, schema-validated agents that interact with real-world APIs using modern 2026 patterns.
June 5, 20266 min read
AI/ML
Beyond the Linter: Engineering AI-First Review Pipelines in 2026
Manual code reviews are a bottleneck that costs your team millions in lost velocity. Here is how I built a multi-agent AI pipeline that catches race conditions, generates property-based tests, and reduced our MTTR by 42%.
June 1, 20266 min read
AI/ML
Beyond Vector Search: Building Production Knowledge Graphs with LLMs
Vector embeddings are hitting a wall. Learn how to build a robust, queryable knowledge graph from unstructured text using LLMs, Pydantic, and Graph databases for true multi-hop reasoning.
May 28, 20265 min read
AI/ML
Vector Database Comparison: Pinecone vs Weaviate vs Qdrant for Real Workloads
Scaling vector search to 100M+ embeddings requires more than just picking a popular name. I compare Pinecone, Weaviate, and Qdrant based on 2026 production performance, architectural trade-offs, and true cost of ownership.
May 24, 20265 min read
AI/ML
Beyond Text: Engineering Production-Grade Multimodal AI in 2026
Stop treating images and audio as secondary metadata. Learn how to build systems that treat pixels, decibels, and tokens as first-class citizens in a single inference pipeline.
May 16, 20265 min read
AI/ML
Context is Everything: Engineering Persistent Memory for LLM Agents
Forget basic chat history. Scaling conversational AI in 2026 requires semantic retrieval, windowed summaries, and stateful graph management. Here is how I built a production-grade memory system using LangGraph and vector compaction.
May 12, 20266 min read
AI/ML
Beyond Static Thresholds: Real-Time Anomaly Detection with Streaming ML
Static alerts are where reliability goes to die. Learn how to implement online learning models using River and Bytewax to detect infrastructure and business anomalies in sub-100ms windows.
May 8, 20265 min read
AI/ML
Building Production-Grade Computer Vision Pipelines for Manufacturing in 2026
Stop wasting money on generic vision sensors. Learn how to build high-throughput, edge-deployed quality control systems using YOLOv11, TensorRT, and specialized lighting setups that actually survive the factory floor.
May 4, 20265 min read
AI/ML
Scaling Engineering Velocity: Building Autonomous Code Review Pipelines in 2026
Stop wasting senior engineering hours on syntax and basic logic. I'll show you how we integrated GPT-5 and Llama 4 into our CI/CD to automate 80% of code reviews and unit test generation.
April 30, 20266 min read
AI/ML
Beyond the Accuracy Trap: Integrating Bias Mitigation into Production ML Pipelines
Stop shipping biased models. Learn how to integrate automated fairness checks and adversarial debiasing into your production pipelines using Fairlearn and custom PyTorch constraints.
April 26, 20266 min read
AI/ML
Building Resilient Computer Vision Pipelines for High-Speed Manufacturing
A deep dive into building production-grade computer vision systems for manufacturing, focusing on low-latency inference, edge deployment, and handling real-world environmental noise.
April 22, 20265 min read
AI/ML
Vector Database Comparison: Pinecone vs Weaviate vs Qdrant for Real Workloads
I spent 48 hours debugging a production latency spike in our recommendation engine because our vector database couldn't handle a write-heavy surge. Here is the 2026 guide to choosing between Pinecone, Weaviate, and Qdrant based on actual performance data and architectural trade-offs.
April 18, 20266 min read
AI/ML
Stop Shipping LLMs Blind: Building Production-Grade Evaluation Frameworks
Most LLM features die in production because teams treat testing like a vibe check. Here is how to build a rigorous, automated evaluation pipeline using G-Eval, DeepEval, and custom synthetic data generators.
April 14, 20265 min read
AI/ML
High-Performance Edge Inference: Mastering ONNX Runtime and TensorRT in 2026
Stop wasting cycles on unoptimized Python inference. Learn how to leverage ONNX Runtime and TensorRT to achieve 10x throughput on edge devices like the Jetson Orin.
April 6, 20265 min read
AI/ML
Stop Using Fixed-Size Chunking: Building Production RAG Pipelines That Actually Work
Fixed-size chunking is the quickest way to ruin a RAG pipeline. Learn how to implement semantic splitting and context-rich metadata injection to build production-grade retrieval systems.
April 2, 20266 min read
AI/ML
Engineering Reliable AI Agents: A Practical Guide to Tool Use and Function Calling
Stop treating AI agents like chat bots and start treating them like distributed systems. Here is how to implement tool-calling that actually works in production without the hallucinations.
March 29, 20266 min read
AI/ML
Beyond the Vibe Check: Engineering a Production-Grade LLM Evaluation Framework
Stop relying on manual 'vibe checks' for your LLM outputs. Here is how I built a robust, automated evaluation pipeline using G-Eval, RAGAS, and custom LLM-as-a-judge patterns for production-scale deployments.
March 25, 20266 min read
AI/ML
Prompt Engineering Patterns That Improve LLM Output Quality by 10x
Stop guessing and start engineering. Here are the four prompt patterns I use at scale to move LLM reliability from 'vibes' to 99.9% production grade.
March 21, 20266 min read
AI/ML
Building Production-Grade Knowledge Graphs: Beyond the LLM Extraction Hype
Stop building flat RAG systems. Learn how to extract high-fidelity entities and relationships from unstructured text using Pydantic, DSPy, and Neo4j to build a graph-augmented LLM stack that actually scales.
March 17, 20266 min read
AI/ML
Responsible AI: Building Bias Detection and Mitigation into ML Pipelines
Stop treating fairness as a post-launch checklist item. Here is how I integrate bias detection and mitigation directly into CI/CD pipelines using Fairlearn 0.12 and custom Great Expectations suites.
March 13, 20266 min read
AI/ML
Building Evaluation Frameworks for LLM Applications: Beyond the Vibe Check
Stop guessing if your prompt changes are working. Learn how to build a production-grade evaluation pipeline using LLM-as-a-judge, synthetic data, and automated regression testing.
March 9, 20265 min read
AI/ML
Edge AI Performance: Mastering ONNX Runtime and TensorRT in Production
Stop wasting cycles on Python-heavy inference. Learn how to squeeze maximum performance out of edge hardware using ONNX Runtime and the TensorRT Execution Provider.
March 5, 20266 min read
AI/ML
Beyond Fixed-Size Windows: Production Chunking Strategies for RAG in 2026
Fixed-size chunking is the reason your RAG pipeline fails on complex queries. Learn how to implement semantic, late-chunking, and recursive strategies that preserve context and boost retrieval precision.
March 1, 20265 min read
AI/ML
Deep Learning Fundamentals for Software Developers
A practical introduction to deep learning concepts for software developers, covering neural networks, backpropagation, and common architectures.
January 24, 20264 min read
AI/ML
Building AI-Powered Trading Platforms: Lessons from UKAI
Learn how I built UKAI, a comprehensive crypto trading platform using deep learning models and 160+ technical indicators. Discover the architecture decisions, challenges, and solutions.
January 15, 20253 min read
AI/ML
YOLO Object Detection: From Theory to Production
Complete guide to implementing YOLO for real-time object detection. Covers YOLOv8, training custom models, and deployment strategies.
January 12, 20253 min read
AI/ML
Achieving 88% Accuracy in Stock Prediction with LSTM Models
A deep dive into StockSageAI and how combining GRU and LSTM architectures led to highly accurate market predictions. Technical breakdown and implementation details included.
January 10, 20253 min read
AI/ML
Building a Sentiment Analysis System with NLP
Learn to build a production-ready sentiment analysis system using transformers. Achieve 89% accuracy with BERT and RoBERTa models.
January 3, 20252 min read
AI/ML
Building Production ML Pipelines: MLOps Best Practices
Learn to build reliable, reproducible ML pipelines with proper versioning, monitoring, and deployment strategies.
December 20, 20242 min read
AI/ML
Building an AI Chatbot with OpenAI API
Step-by-step guide to building a production-ready chatbot using OpenAI's GPT models. Includes context management and streaming.
December 15, 20241 min read
AI/ML
Computer Vision Applications in Industry
Real-world applications of computer vision: manufacturing quality control, retail analytics, healthcare imaging, and autonomous vehicles.
November 25, 20241 min read