Piperic
similar sites
‹ profile

Sites similar to dcvid.com

David Cheng | AI Systems Architect · ranked by shared content topics & relevance
76match
ericmartin.ai
Eric Martin | AI Systems Architect
1 shared topicsartificial-intelligence
76match
ahmadhussein.com
Ahmad Hussein | AI Systems Architect
1 shared topicsartificial-intelligence
75match
samanahali.com
Systems Architect AI
1 shared topicsartificial-intelligence
74match
samgirard.com
Sam Girard — AI Systems Architect
1 shared topicsartificial-intelligence
74match
aaronaldana.com
Aaron Aldana — AI Systems Architect
1 shared topicsartificial-intelligence
74match
saluk.ai
Saluk AI | AI Systems, Architected.
1 shared topicsartificial-intelligence
72match
ahunter.ai
Anthony Hunter | Systems Architect
1 shared topicsartificial-intelligence
72match
nickdurazzo.com
Nick Durazzo — AI Systems Architect & Founder
1 shared topicsartificial-intelligence
72match
aadilgarg.com
Aadil Garg - ML & DevOps Engineer | AI Systems Architect
1 shared topicsartificial-intelligence
72match
orchesity.com
Orchesity · AI System Architect
1 shared topicsartificial-intelligence
72match
sandaveisa.com
Sanda Veisa | AI Systems Architect & Digital Infrastructure
1 shared topicsartificial-intelligence
72match
automatearabia.com
Automate Arabia | AI Integrated Systems Architects
1 shared topicsartificial-intelligence
71match
samuelntekob.com
Samuel Ntekob | Entrepreneur & AI Systems Architect
1 shared topicsartificial-intelligence
71match
dbeaman.com
Platform, Data & AI Systems Architect | Drew Beaman
1 shared topicsartificial-intelligence
71match
alanencinas.com
Alan Scott Encinas | AI Engineer & Systems Architect
1 shared topicsartificial-intelligence
71match
alanscottencinas.com
Alan Scott Encinas | AI Engineer & Systems Architect
1 shared topicsartificial-intelligence
71match
kareypowell.com
Karey Powell | Staff Engineer & AI Systems Architect
1 shared topicsartificial-intelligence
71match
ajayprajapat.com
Ajay Prajapat | AI Systems Architect & Senior Software Engineer
1 shared topicsartificial-intelligence

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.