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
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.