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AI Architect & Master Inventor @ IBM Db2 | Helping senior engineers lead AI products end to end
I help engineers take full technical ownership of AI products.⠀ Specifically, engineers who are already technically strong. Ready to build. Ready to lead an AI project from rough idea to finished product.⠀ Figuring out what to build. Setting the scope. Aligning with the people who depend on the project. Knowing when an early prototype is ready to commit to. Knowing when to say no. Talking to a customer about something still being figured out. Getting customers to actually use the feature after it ships.⠀ These are the lessons I share. Every week. From the work.⠀ For seven plus years I have worked on IBM Db2, one of the longest-running enterprise databases in the world, building AI directly into it.⠀ Over the last two years I led two major AI projects from start to finish. Vector search, the technology behind many modern AI features including semantic search and recommendations, built directly into the database. Then a way to connect large language models, the technology behind tools like ChatGPT, so developers can use them directly from SQL.⠀ Both projects went from idea to shipped features under me. I wrote the proposals. Built the early prototypes. Designed the solutions. Led teams of 25 plus developers across multiple deep parts of the product. Wrote code. Held the timeline. Spoke with customers. Recorded the demos. Presented at conferences on four continents.⠀ 21 years at IBM. AI Architect and Master Inventor on Db2. PhD candidate at York University. Many patents and peer reviewed research. 16 conference sessions across four continents in 2025. 100 plus engineers mentored.⠀ Most visible AI voices on LinkedIn come from startups. I build AI inside a thirty-year-old product and write about it.⠀ Subscribe to AI Architect's Playbook for one practical lesson each week on taking full technical ownership of AI products: → aiarchitectplaybook.c
York University
Doctor of Philosophy - PhD, Computer Science (Machine Learning for Database Systems)
January 1, 2019 – December 1, 2026
University of Toronto
Certificate, Creative Writing
January 1, 2011 – January 1, 2012
University of Waterloo
Master's degree, Computer Science with Specialization in Software Engineering
January 1, 2010 – January 1, 2017
University of New Brunswick
Bachelor (Honours), Computer Science
January 1, 2002 – January 1, 2006
IBM Canada
AI Architect and Master Inventor, IBM Db2 Database
January 1, 2019 – Present
IBM Canada
Lead Machine Learning Engineer, IBM Analytics
January 1, 2016 – December 1, 2018
IBM Canada
Tech Lead and Java Developer, Digital Support Tools Development, IBM Software Group
August 1, 2006 – January 1, 2016
Q1 Labs (IBM Security)
Software Developer
August 1, 2004 – December 1, 2004
NB Power
Software Developer
September 1, 2003 – April 1, 2004
xwave
Programmer/Analyst
September 1, 2002 – December 1, 2002
IBM Recognized Teacher/Educator
IBM
June 24, 2026 – Present
Deploying Machine Learning Models in Production
DeepLearning.AI
June 24, 2026 – Present
Machine Learning Modeling Pipelines in Production
DeepLearning.AI
June 24, 2026 – Present
Introduction to Machine Learning in Production
DeepLearning.AI
June 24, 2026 – Present
Critical Thinking & Problem-Solving
edX
June 24, 2026 – Present
Data Manipulation with pandas
DataCamp
June 24, 2026 – Present
AI Technical Accelerator
IBM
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Machine Learning Engineering for Production (MLOps) Specialization
DeepLearning.AI
June 24, 2026 – Present
Storytelling and influencing: Communicate with impact
Coursera
June 24, 2026 – Present
IBM Cloud Pak for Data V3.5.x Data Science
IBM
June 24, 2026 – Present
Machine Learning Data Lifecycle in Production
DeepLearning.AI
June 24, 2026 – Present
Introduction to Natural Language Processing in Python
DataCamp
June 24, 2026 – Present
First Patent File
IBM
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Intermediate Python for Data Science Course
DataCamp
June 24, 2026 – Present
Unsupervised Learning in Python
DataCamp
June 24, 2026 – Present
IBM Watson Data Platform Foundations
IBM
June 24, 2026 – Present
IBM Certified SOA Solution Designer
IBM
June 24, 2026 – Present
Intro to Python for Data Science Course
DataCamp
June 24, 2026 – Present
HBR Presentation Basics: Writing Presentations
Duarte, Inc.
June 24, 2026 – Present
HBR Presentation Basics: Creating Visuals
Duarte, Inc.
June 24, 2026 – Present
Toastmasters Competent Leader
Toastmasters International
June 24, 2026 – Present
Convolutional Neural Networks for Image Processing
DataCamp
June 24, 2026 – Present
Extreme Gradient Boosting with XGBoost
DataCamp
June 24, 2026 – Present
Academic Writing Made Easy
edX
June 24, 2026 – Present
IBM Recognized Speaker/Presenter
IBM
June 24, 2026 – Present
Secure your cloud applications with single sign-on
IBM
June 24, 2026 – Present
Toastmasters Competent Communicator
Toastmasters International
June 24, 2026 – Present
Call for Code 2018 - IBM Contributor
IBM
June 24, 2026 – Present
Apache Spark Getting Started
Skillsoft
June 24, 2026 – Present
Machine Learning with PySpark
DataCamp
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's long tenure at IBM, involvement in various technical and leadership roles, and contributions to open-source-like initiatives (code patterns, workshops) suggest a strong cultural fit for a collaborative, innovation-driven environment. Their academic pursuits while working full-time demonstrate a commitment to continuous learning and intellectual curiosity. However, the target role is 'Backend Engineer' while the recent experience is heavily skewed towards AI/ML and data science. While there is a strong foundation in Java development from earlier career, the recent focus might indicate a slight misalignment with a pure backend engineering role without a strong ML/AI component.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and communication skills through their roles as an AI Architect, Lead ML Engineer, and Tech Lead, as well as their extensive public speaking and publication record. Their experience in agile methodology adoption indicates a good operational fit for modern development environments. The Toastmasters certifications further support strong communication and leadership potential.