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Mahdi Jafari - Software Engineer | Python, AI Engineering, TypeScript — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
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jayphan.dev 73 match
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brakmic.com 73 match
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qguenther.dev 73 match
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Yush — Software Engineer en programming-languages robotsllmsaihumans emailphone none
czchen.dev 71 match
3 shared topics
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bobbyross.dev 71 match
3 shared topics
Software Engineer - Bobby Ross Portfolio en web-development robotsllmsaihumans emailphone none
curtisrodgers.com 71 match
3 shared topics
[Curtis Rodgers] Software Engineer en web-development robotsllmsaihumans emailphone none
borhan.dev 71 match
3 shared topics
Borhan Boulandier - Software Engineer en programming-languages robotsllmsaihumans emailphone partial · 8
ngridge.com 71 match
3 shared topics
James Langridge - Software Engineer en programming-languages robotsllmsaihumans emailphone none
4li.io 71 match
3 shared topics
Ali Dehkharqani — Go Backend Software Engineer en technology-and-computing robotsllmsaihumans emailphone none
adetola.dev 70 match
3 shared topics
Adetola Adetunji | Software Engineer en technology-and-computing robotsllmsaihumans emailphone partial · 8
nicoavila.dev 70 match
3 shared topics
Nico Avila - Senior Software Engineer & Systems Developer from Chile en web-development robotsllmsaihumans emailphone none
kylepoota.com 70 match
3 shared topics
Kyle Poota — Software Engineering Student en programming-languages robotsllmsaihumans emailphone none
mdtanvirahamedshanto.dev 70 match
3 shared topics
Md Tanvir Ahamed Shanto | Full-Stack Software Engineer en web-development robotsllmsaihumans emailphone none
tudope.com 69 match
3 shared topics
Anh Tu Do - Software engineer en technology-and-computing robotsllmsaihumans emailphone none
quanpham3105.com 69 match
3 shared topics
Quan Pham - Software Engineer en programming-languages robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.