Problem framing
How the shape of the question determines what technical work is worth doing in the first place.
AI, SOFTWARE, AND SYSTEMS THROUGH A PRACTICAL LENS
I write about AI, analytical work, and the systems around them.
Notes on machine learning, software systems, and the point where technical judgment has to meet workflows, planning, and business context.
Current Exploration
Reverse Engineered AI
Learning AI backwards, from LLM curiosity into the ML foundations behind modern systems, then revisiting the foundations in the proper order.
Recurring themes
What keeps resurfacing in the work
Much of the useful work happens before modeling starts: framing the problem, defining the data, and understanding what people need to trust.
Data, evaluation, and trust
How the picture changes once the data is defined carefully and the measures reflect real use.
Forecasting and planning
How forecasts become useful when they are tied to timing, constraints, and actual planning decisions.
Operational fit in real workflows
Whether a system fits the workflow around it and can keep being used after the initial enthusiasm fades.
Writing
Latest notes
Reverse Engineered AI
A personal note on learning AI backwards, from LLM curiosity into the ML foundations behind modern systems.
Read noteThe Awesomeness of e (Euler's Number)
A short note on Euler's number and why e keeps appearing in growth, compounding, and continuous change.
Read noteGet in touch
The contact page is open.
If something here connects with work, planning, or a question you are thinking through, a note is welcome. I read every message myself.
A few lines of context are fine.
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