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Kevin Kurkowski | Principal Integrations Architect | .NET, Azure, NetSuite — 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 Cloud Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
georgpfeiffer.dev ↗	70 match 2 shared topics	georgpfeiffer.dev — Technical Deep-Dives on .NET, Azure, and System Integration	en	technology-and-computing	robotsllmsaihumans	emailphone	none
adilcan.me ↗	69 match 2 shared topics	Adil Can — Sr. Solutions Architect \| Cloud Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
gaul.dev ↗	69 match 2 shared topics	Timothy Gaul \| Principal Cloud Architect & Technical Leader	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
gdawsonkesson.com ↗	69 match 2 shared topics	George Dawson-Kesson \| AWS Certified Solutions Architect \| DevOps Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
karpov.cc ↗	69 match 2 shared topics	Sergiy Karpov \| Fractional CTO & Solutions Architect	en	technology-and-computing	robotsllmsaihumans	emailphone	none
beeteq.com ↗	68 match 2 shared topics	BeeTeq — Serkan \| Solution Architect	en	technology-and-computing	robotsllmsaihumans	emailphone	none
khalillakhdhar.space ↗	68 match 2 shared topics	Khalil Lakhdhar - Backend Systems Architect & DevOps Engineer \| Portfolio	en	technology-and-computing	robotsllmsaihumans	emailphone	none
simonscholz.dev ↗	67 match 2 shared topics	Software Architecture & Backend Engineering — Simon Scholz	Germany~ en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
aboubak.art ↗	67 match 2 shared topics	Aboubakar Sidik Faha \| DevOps & Solution Architect \| Aboubakar Sidik Faha \| DevOps & Solution Architect	en	cloud-computing	robotsllmsaihumans	emailphone	none
revopsdev.com ↗	67 match 2 shared topics	RevOps Architecture and Development \| RevOpsDev	en	technology-and-computing WordPress WooCommerce	robots llmsaihumans	emailphone	none
abishekmosesraj.com ↗	67 match 2 shared topics	Abishek Moses Raj - Tech Lead & AWS Cloud Architect \| Chennai	India~ en	technology-and-computing	robotsllmsaihumans	emailphone	none
kevarellano.com ↗	67 match 2 shared topics	Kevin Arellano \| Backend Architect & Infrastructure Engineer	United States~ en	cloud-computing	robotsllmsaihumans	emailphone	none
melcher.dev ↗	67 match 2 shared topics	Melcher.dev - Azure, DevOps, Cloud Architecture and other stuff	en	cloud-computing	robotsllmsaihumans	emailphone	none
devdox.tech ↗	67 match 2 shared topics	Devdox \| Engineering, Architecture, and Cloud Consulting	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
geoffhellings.com ↗	67 match 2 shared topics	Geoff Hellings - Sr Infrastructure Engineer \| Azure & AWS Cloud Architect	United States~ en	cloud-computing	robotsllmsaihumans	emailphone	none
kaushal.click ↗	67 match 2 shared topics	Kaushal Kumar \| Backend & Integration Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
djordjenedovic.tech ↗	67 match 2 shared topics	Djordje Nedovic \| Senior Software Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
theazway.com ↗	67 match 2 shared topics	TheAzWay \| Advanced Azure Engineering – Azure Architecture, Azure Networking, Azure IaaS, Azure SaaS, Architecture Support and Best practices	en	technology-and-computing WordPress	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.