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Omar Shaik | Engineering && Leadership | Early Engineer @ Apple Vision Pro — 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 Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jeffburkhartengineering.com ↗	72 match 1 shared topics	Fractional and Full-Time Engineering Leadership · Jeff Burkhart Engineering	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
wbelf.com ↗	72 match 1 shared topics	WBELF - WB Engineering Leadership Forum	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
thetechcoach.io ↗	71 match 1 shared topics	The Tech Coach — scaling engineering leaders & founders	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
web-nasr.com ↗	71 match 1 shared topics	Mohamed Nasr \| Senior Lead Engineer & Engineering Manager \| Technical Leadership & Project Delivery \| Netherlands	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jeanduplessis.me ↗	71 match 1 shared topics	Jean du Plessis \| Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
1month-ai.dev ↗	70 match 1 shared topics	1Month — Engineering Leadership at AI-Era Velocity	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ahsan-iqbal.com ↗	70 match 1 shared topics	From Engineer to Leader… – Engineering Manager	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
mariuswilms.com ↗	70 match 1 shared topics	Marius Wilms: Software engineering leader and open source engineer	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
jamiethompson.tech ↗	70 match 1 shared topics	Jamie Thompson \| Engineering Leader \| Jamie Thompson	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ahmedtourk.com ↗	70 match 1 shared topics	Ahmed Tourk \| Engineering Manager & Agile Leader \| Netherlands	Netherlands~ en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jaredjordan.dev ↗	69 match 1 shared topics	Engineering Leadership & Innovation at Scale	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
waynehaber.com ↗	69 match 1 shared topics	Wayne Haber \| Engineering Leader – Mentor. Build. Ship. Repeat.	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
markverebelyi.com ↗	69 match 1 shared topics	Mark Verebelyi - Software Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
watercolorleadership.com ↗	69 match 1 shared topics	Watercolor Leadership \| Executive Coaching & Leadership Development	en	executive-leadership-and-management WordPress WooCommerce	robots llmsaihumans	emailphone	none
jakubsvoboda.net ↗	69 match 1 shared topics	Jakub Svoboda \| Engineering Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jeffreybarron.dev ↗	69 match 1 shared topics	Jeffrey Barron \| Engineering Leader & Technical Executive	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
dermotdooley.com ↗	69 match 1 shared topics	Dermot Dooley \| Senior Engineering Leader	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
jameslopez.net ↗	69 match 1 shared topics	James Lopez \| Senior Engineering Leader	en	executive-leadership-and-management	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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.