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AI/ML Engineer & Full Stack Developer building innovative solutions with modern technologies.

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39 articles tagged with this topic.

Responsible AI: Building Bias Detection and Mitigation into ML Pipelines
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
Beyond Chatbots: Engineering Production-Grade AI Agents with Tool Use
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
Stop Manually Exporting CSVs: Building a Resilient Reporting Pipeline in 2026
Automation

Stop Manually Exporting CSVs: Building a Resilient Reporting Pipeline in 2026

Manual reporting is a silent productivity killer. Learn how to architect a production-grade, version-controlled reporting pipeline using Dagster, DuckDB, and Quarto that scales from side projects to enterprise reconciliation systems.

June 2, 20266 min read
Beyond Vector Search: Building Production Knowledge Graphs with LLMs
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
Beyond Bash: 3 Python Automation Patterns That Saved Me 20 Hours a Week
Automation

Beyond Bash: 3 Python Automation Patterns That Saved Me 20 Hours a Week

Stop wasting time on manual data migrations, log auditing, and environment synchronization. Here are the specific Python patterns and scripts I use to automate the boring stuff in 2026.

May 17, 20265 min read
Beyond Text: Engineering Production-Grade Multimodal AI in 2026
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
Beyond Cron: Industrial-Grade Automated Reporting in 2026
Automation

Beyond Cron: Industrial-Grade Automated Reporting in 2026

Stop manually running SQL scripts and exporting CSVs. Learn how to build resilient, stateful reporting pipelines using Dagster, DuckDB, and modern orchestration patterns that actually scale.

May 13, 20266 min read
Context is Everything: Engineering Persistent Memory for LLM Agents
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
Beyond REST: Choosing the Right Communication Pattern for 2026 Microservices
Software Engineering

Beyond REST: Choosing the Right Communication Pattern for 2026 Microservices

Stop defaulting to REST for everything. In 2026, the cost of inefficient internal communication is too high. Here is how I choose between REST, gRPC, and Message Queues based on production experience.

May 11, 20265 min read
Beyond Static Thresholds: Real-Time Anomaly Detection with Streaming ML
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
Beyond the Cron Job: Building Resilient Automated Reporting Pipelines in 2026
Automation

Beyond the Cron Job: Building Resilient Automated Reporting Pipelines in 2026

Stop manually exporting CSVs. Learn how to build a declarative, version-controlled reporting pipeline using Dagster and DuckDB that stakeholders can actually trust.

May 5, 20266 min read
Building Production-Grade Computer Vision Pipelines for Manufacturing in 2026
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
Beyond the Log File: Engineering Observability for Scale in 2026
Software Engineering

Beyond the Log File: Engineering Observability for Scale in 2026

Stop searching for needles in haystacks. Learn how to implement OpenTelemetry-native structured logging and distributed tracing to debug production outages in seconds, not hours.

May 3, 20266 min read
Scaling Engineering Velocity: Building Autonomous Code Review Pipelines in 2026
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
Beyond the Accuracy Trap: Integrating Bias Mitigation into Production ML Pipelines
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
Scalable Automated Report Generation: A 2026 Engineering Guide
Automation

Scalable Automated Report Generation: A 2026 Engineering Guide

Stop manually exporting CSVs. Learn how to build a production-grade automated reporting system using DuckDB, Prefect, and Quarto to deliver insights without human intervention.

April 23, 20266 min read
Building Resilient Computer Vision Pipelines for High-Speed Manufacturing
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
Stop Shipping LLMs Blind: Building Production-Grade Evaluation Frameworks
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
Beyond Chat: Building a Slack Control Plane for High-Performance Teams
Automation

Beyond Chat: Building a Slack Control Plane for High-Performance Teams

Stop context switching and start executing. Learn how I built automated incident response loops and productivity bots using Slack's Bolt SDK to save my team 10+ hours a week.

April 11, 20267 min read
Stop Using Fixed-Size Chunking: Building Production RAG Pipelines That Actually Work
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
Engineering Reliable AI Agents: A Practical Guide to Tool Use and Function Calling
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
Technical Debt is a High-Interest Loan: Pay it or Go Bankrupt
Software Engineering

Technical Debt is a High-Interest Loan: Pay it or Go Bankrupt

Stop treating technical debt as a 'later' problem. Learn how to quantify it using churn-complexity metrics, prioritize it using the Interest Matrix, and use 2026 tooling to automate the cleanup.

March 28, 20266 min read
Beyond the Vibe Check: Engineering a Production-Grade LLM Evaluation Framework
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
Writing Code That Other Developers Actually Want to Maintain
Software Engineering

Writing Code That Other Developers Actually Want to Maintain

Most developers write code to solve a problem today; senior engineers write code to be deleted tomorrow. This is how you build systems that don't make your teammates quit.

March 24, 20266 min read
Building Production-Grade Knowledge Graphs: Beyond the LLM Extraction Hype
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
Responsible AI: Building Bias Detection and Mitigation into ML Pipelines
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
Building Evaluation Frameworks for LLM Applications: Beyond the Vibe Check
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
Python Automation for the Modern Engineer: Reclaiming 200 Hours a Year
Automation

Python Automation for the Modern Engineer: Reclaiming 200 Hours a Year

Stop acting like a human cron job. Learn how to leverage Polars, Pydantic, and HTTPX to build robust automation scripts that handle the heavy lifting of modern software engineering in 2026.

March 6, 20266 min read
Edge AI Performance: Mastering ONNX Runtime and TensorRT in Production
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
Technical Debt is a Financial Liability: A 2026 Guide to Measurement and Paydown
Software Engineering

Technical Debt is a Financial Liability: A 2026 Guide to Measurement and Paydown

Technical debt isn't just 'bad code'—it's a financial liability on your velocity. Learn how to use Git churn analysis, complexity metrics, and automated codemods to systematically eliminate rot in the age of AI-generated sprawl.

March 4, 20266 min read
Beyond Fixed-Size Windows: Production Chunking Strategies for RAG in 2026
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
Technical Debt: How to Measure, Prioritize, and Pay It Down
Software Engineering

Technical Debt: How to Measure, Prioritize, and Pay It Down

Technical debt isn't just 'messy code.' It's a quantifiable financial liability. Learn how to use behavioral code analysis and the Technical Debt Ratio (TDR) to reclaim your roadmap in 2026.

February 28, 20266 min read
Deep Learning Fundamentals for Software Developers
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
Building AI-Powered Trading Platforms: Lessons from UKAI
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
Building a Sentiment Analysis System with NLP
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
10 Python Automation Scripts Every Developer Needs
Automation

10 Python Automation Scripts Every Developer Needs

Practical Python scripts to automate repetitive tasks, from file organization to API integrations and system monitoring.

December 25, 20242 min read
Building an AI Chatbot with OpenAI API
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
Web Scraping with Python: Complete Guide
Automation

Web Scraping with Python: Complete Guide

Learn web scraping with Python using BeautifulSoup, Selenium, and Scrapy. Handle dynamic content and avoid detection.

December 10, 20241 min read
Time Series Forecasting with Deep Learning
Deep Learning

Time Series Forecasting with Deep Learning

Advanced techniques for time series forecasting using LSTM, Transformers, and ensemble methods.

December 5, 20242 min read