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mindsnmachines | QA | Data Engineering | Machine Learning — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
skhnv.com ↗	76 match 1 shared topics	Roman A Sukhanov \| Machine Learning Engineer \| Software Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jakupymeraj.com ↗	74 match 1 shared topics	Jakup Ymeraj \| Machine Learning & Data Engineering Portfolio	en	artificial-intelligence	robots llmsaihumans	emailphone	none
adityaagarwal.me ↗	74 match 1 shared topics	Aditya Agarwal \| Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
oussamabouanani.com ↗	74 match 1 shared topics	Oussama Bouanani \| AI and Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deploymachinelearning.com ↗	73 match 1 shared topics	Machine Learning with Django \| Deploy Machine Learning models with Django	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
markasare.com ↗	73 match 1 shared topics	Mark Asare \| Machine Learning Engineer, MLOps, AWS & Azure	Australia~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
iagonunes.com.br ↗	73 match 1 shared topics	Iago Nunes - Machine Learning Engineer \| Data Scientist	Brazil en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bossanovadata.com ↗	73 match 1 shared topics	Bossa Nova Data Solutions \| Data Analytics • Machine Learning • AI	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
jacobkuriakose.com ↗	73 match 1 shared topics	Jacob Kuriakose - Data Scientist & Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	email phone	none
gareginmazmanyan.com ↗	72 match 1 shared topics	Garegin Mazmanyan - AI/Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
savindi.com ↗	72 match 1 shared topics	Savindi Wijenayaka \| Machine Learning Engineer & Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gaurangkakade.com ↗	72 match 1 shared topics	Gaurang Kakade \| Data Science & Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skgood.tech ↗	72 match 1 shared topics	SK Good Tech - Expert Data Engineering, AI & Machine Learning Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jaminjuma.tech ↗	72 match 1 shared topics	Jamin Juma - Data Scientist & Machine Learning Engineer \| Kenya \| Python ML Portfolio	en	artificial-intelligence	robotsllmsaihumans	email phone	none
dendrite.ai ↗	72 match 1 shared topics	Dendrite \| Machine Learning and Business Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
marufakamal.com ↗	72 match 1 shared topics	Marufa Kamal — Machine Learning Engineer & AI Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dilekcelik.net ↗	72 match 1 shared topics	Dr Dilek Celik, Senior Data Scientist and Machine Learning Engineer	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
dharmhpatel.com ↗	72 match 1 shared topics	Dharm Patel \| Data Science-Machine Learning Portfolio	en	artificial-intelligence	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.