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Projects by Danial Jafarzadeh | ML and Systems Work

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Table of Contents

Projects
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This page will collect the projects worth documenting in depth: model-building work, systems experiments, and implementation-heavy side projects.

What Will Show Up Here
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  • ML projects: training experiments, evaluation pipelines, and model-focused tooling
  • Systems work: performance experiments, low-level debugging, and infrastructure notes
  • Technical writeups: project breakdowns that explain the engineering choices behind the result
  • Open source work: contributions that are interesting enough to unpack

I am keeping this page intentionally small until each project has enough substance to be useful on its own.

If a project here overlaps with your work or you want to compare approaches, reach out by email.

Danial Jafarzadeh
Author
Danial Jafarzadeh
I write about machine learning systems, GPU programming, and the implementation details behind modern AI workloads.

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About Danial Jafarzadeh | ML and Systems Engineering
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Hey, I’m Danial Jafarzadeh # I work at the intersection of machine learning and systems. Most of my time goes into understanding how models behave, how training pipelines fail, and how to make performance-critical code less wasteful.
Danial Jafarzadeh | Resume
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Resume # I am a software engineer focused on machine learning systems, performance-sensitive implementation, and technical writing. My work sits at the point where models, tooling, and engineering constraints meet.
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Abstract This opening post explains what Neural Odyssey is for: practical writing about machine learning, systems work, debugging, and the messy parts of learning in public. It sets the tone for the blog and the kind of posts that will be worth following.