A signal becomes a model
“Modeling a Periodic Signal Using Fourier Series” establishes the first visible thread: use mathematics to uncover repeatable structure.
About Leith
Leith Uwaydah is the founder of Primary Source and a Beirut-based AI builder at Local Service Spotlight. His work sits where mathematical models, evidence architecture, visual explanation, and practical systems meet.
BeirutAI builder
Complex is not the same as unclear.
A complicated system can often be understood when its structure is made visible. That idea runs through Leith’s published research: periodic signals, financial models, basketball motion, and image super-resolution.
It also shapes his current work in AI. The goal is not to make a demo look intelligent. It is to understand a workflow well enough to build something useful inside it.
The timeline
“Modeling a Periodic Signal Using Fourier Series” establishes the first visible thread: use mathematics to uncover repeatable structure.
“Modeling a Yield Curve under G2++” applies that modeling instinct to interest-rate behavior.
“Dribbling Basketball Using Fourier Series” treats a familiar physical rhythm as a periodic signal.
“Super-Resolution Using Fourier Image Transformer” explores recovering visual detail through Fourier-based methods.
With Hanan Jaffal, “Interaction between Portfolios under G2++ Model” extends the quantitative-finance work.
Leith founded Primary Source to organize verifiable evidence into a record people and AI systems can retrieve and corroborate. At Local Service Spotlight, he is learning the Content Factory and Marketing Mechanic systems in public.
What comes next
This site is the beginning of a public build log—not a finished mythology. The next body of work will connect technical research to real AI implementations, with the steps made visible along the way.
Follow the work