Ahmad Memon Let's talk

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Selected systems · 01

Useful software,
built around evidence.

AI evaluation, route intelligence, workflow automation, and data systems designed around a real question.

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Experience · 02

Research depth.
Product instincts.

From UBC Okanagan research to AI engineering and educational software, I work where reliability matters.

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Research · IEEE CASCON 2025

From grading code
to trusting rubrics.

I compared direct and fix-then-grade AI methods against human assessment, then carried that question upstream: how should instructors review the AI-generated rubrics behind those decisions?

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Capabilities · 04

Systems thinking,
end to end.

Python, JavaScript, secure APIs, data modeling, model evaluation, and human-centered product decisions.

More about my approach

Next chapter · 05

Let's build something
worth relying on.

I’m open to software engineering, applied AI, and research-focused opportunities.

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The overview is cinematic.
The details are precise.

01WorkFour selected systems 02ExperienceResearch and engineering 03ResearchPublished code grading study → ongoing rubric research 04AboutSkills, education, approach

Currently based in Canada

Available for thoughtful engineering teams solving difficult problems.

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