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Samuel Sautdo Pangidoan - Resume — 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 Careers →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
harisaqeel.com 75 match
2 shared topics
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hasan-deeb.com 68 match
2 shared topics
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johnmparks.com 67 match
2 shared topics
John Parks - Resume en careers robotsllmsaihumans emailphone none
zubidev.com 67 match
2 shared topics
Muhammad Zubair Khan | Resume en careers robotsllmsaihumans emailphone none
jnbruno.com 66 match
2 shared topics
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curier.org 66 match
2 shared topics
Franck Curier - Resume/CV en careers robotsllmsaihumans emailphone none
cullenwatson.ai 65 match
2 shared topics
Cullen Watson - Curriculum Vitae en careers robotsllmsaihumans emailphone none
cullenwatson.net 65 match
2 shared topics
Cullen Watson - Curriculum Vitae en careers robotsllmsaihumans emailphone none
jorgelucasdev.com 64 match
2 shared topics
Jorge Lucas Resume en careers robotsllmsaihumans emailphone none
samueljimoh.com 64 match
2 shared topics
Samuel Senior Backend Engineer en careers robotsllmsaihumans emailphone none
derekackley.com 64 match
2 shared topics
Derek Ackley | Resume en careers robotsllmsaihumans emailphone none
swaralishirke.com 64 match
2 shared topics
Swarali Shirke's Resume en careers robotsllmsaihumans emailphone none
derekmeduri.com 64 match
2 shared topics
Derek Meduri en careers robotsllmsaihumans emailphone none
hashmiwebsol.com 63 match
2 shared topics
Resume - Engr. Faraz Hashmi en careers robotsllmsaihumans emailphone none
jordun.com 63 match
2 shared topics
Forest McKinney en careers robotsllmsaihumans emailphone none
joelsaupe.com 63 match
2 shared topics
Joel Saupe - Software Engineer en careers robotsllmsaihumans emailphone none
luisanobrevaz.com 62 match
2 shared topics
LuisaVaz - CV en careers robotsllmsaihumans emailphone none
lawrencereed.co.uk 62 match
2 shared topics
Lawrence Reed - Lead Engineer, Full Stack Developer GB en careers 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.