Welcome to my blog where I share practical insights about AI implementation, team leadership, and building production AI systems.

I focus on real-world experience over theoretical concepts, sharing lessons learned from 16 years in technology and 3+ years leading AI platform teams.

Latest Posts

2025

Stop Overengineering Evals: 50 Datapoints and 30 Minutes Is All You Need to Start - November 29, 2025 AI Evals, Production AI, Practical AI, LLM Testing, Anti-Hype

From my consulting work, I estimate that 70% of teams building AI systems have zero systematic testing in place during early development. Not because they don't value evals, but because they're stuck choosing between frameworks. Here's the practical 50-datapoint approach that works.

From Zero to Production-Ready AI in 6 Months: The Build-Buy-Boost Decision Framework - November 19, 2025 AI Strategy, Enterprise AI, AI Implementation, Practical AI, AI Framework | Part 5 of AI Strategy in a Six-Month World

Roughly 60% of internal AI tool development projects get abandoned before reaching production. Not because the tech doesn't work, but because teams spend months building something that already exists for $50/month. Here's the complete 7-step AI strategy framework.

AI-Native Teams: A Practical Playbook for Engineering Leaders - November 12, 2025 AI Strategy, Engineering Leadership, Talent Development, AI Adoption, Practical AI | Part 4 of AI Strategy in a Six-Month World

80% of your people want to use AI at work. But only 12% received any kind of formal training in 2024. While executives talk about building AI-native organizations, most haven't figured out what that actually means. Here's the talent transformation approach that works.

The Only Way to Prove Your AI Investment Is Worth It: A Practical Evaluation Playbook - November 5, 2025 AI Strategy, AI Evals, Production AI, AI Observability, Practical AI | Part 3 of AI Strategy in a Six-Month World

When I ask AI teams how confident they are about their system's output quality, the room goes quiet. In roughly 70% of my consulting conversations, leaders can't answer that question with any certainty. Here's the practical framework to build evaluations that give you measurable confidence.

Stop Hiring: Get 3x Output From Your Current Dev Team With AI Assistants - October 29, 2025 AI Strategy, Developer Productivity, AI Tools, Engineering Leadership, Practical AI | Part 2 of AI Strategy in a Six-Month World

From my consulting work, I estimate that 70% of engineering teams using AI coding assistants are leaving 2-4x productivity gains on the table. They've installed the tools but treat AI like fancy autocomplete. Here's what separates teams getting marginal gains from those achieving genuine multiplication of output.

Why Your 3-Year AI Roadmap Becomes Obsolete in 6 Months (And What to Do Instead) - October 22, 2025 AI Strategy, Enterprise AI, AI Leadership, Practical AI, Anti-Hype | Part 1 of AI Strategy in a Six-Month World

One client recently scrapped a 2.4 million euro AI roadmap finalized just eight months earlier because the assumptions had already expired. That's not poor planning, but a signal that the old planning model itself is broken. Here's the framework I use to plan AI initiatives in this environment.

Stop Waiting for the Next Big Model. Build Reliable Foundations Instead. - August 24, 2025 AI Strategy, AI Leadership, Enterprise AI, Model-Agnostic, Anti-Hype

Companies literally waited 1.5 years for GPT-5 to fix their fragile AI workflows instead of building proper foundations. While your competitors bet their AI strategy on the next model release, you could be building model-agnostic systems that deliver consistent quality regardless of what vendors announce next.

From REST APIs to MCPs: The Strategic Shift Any Company Offering API Endpoints Must Make Now - August 16, 2025
AI, MCP, API Design, AI Agents

Why traditional REST APIs are becoming bottlenecks for AI agents and how Model Context Protocol (MCP) offers a strategic solution for companies offering API endpoints.

2024

How to Build Prompt Engineering Expertise At Your Company - December 2, 2024
AI, Prompt Engineering, Team Building

Learn practical strategies for developing prompt engineering capabilities within your organization without expensive external hires. Covers ideal candidate profiles, growth paths, and building sustainable AI expertise.

2018

AutoWorkout: How to Improve Motion Activity Classifier Predictions? - January 23, 2018
Machine Learning, Motion Classification, Prediction Improvement

Exploring advanced techniques for improving machine learning model predictions in real-world fitness applications. Covers voting algorithms, outlier detection, and achieving production-ready accuracy from multiple classifier outputs.

2017

Run or Walk (Part 4): Using Keras Neural Network Classifier in iOS With Core ML - November 14, 2017
iOS, Core ML, Keras, Neural Networks

The final part of the series showing how to convert trained Keras models to Core ML format and integrate them into iOS applications for real-time motion activity detection.

Run or Walk (Part 3): >99% Accuracy Neural Network Classifier for Detecting Motion Activity - September 5, 2017
Machine Learning, Neural Networks, Motion Classification

Designing and training neural network architectures that achieve over 99% accuracy in motion activity detection. Covers model architecture decisions, hyperparameter tuning, and validation techniques.

Run or Walk (Part 2): Collecting Device Motion Data the Right Way - August 14, 2017
Machine Learning, iOS, Data Collection, Motion Sensors

Deep dive into proper data collection techniques for motion activity detection. Covers sensor selection, data frequency optimization, collection methodology, and avoiding common data quality pitfalls.

Run or Walk (Part 1): Detecting Motion Activity Type With Machine Learning and Core ML - August 5, 2017
Machine Learning, iOS, Core ML, Deep Learning

Introduction to building an end-to-end motion activity detection system using machine learning and Apple's Core ML framework. Covers the problem space, approach, and project overview.