Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to officialework.com

Rajdeep Sah - AI/ML Engineer | Researcher | Developer · ranked by shared content topics & relevance
75match
andausman.com
Anda Usman - Applied AI Engineer | Researcher | Speaker
2 shared topicsartificial-intelligence
74match
bayegajoan.com
Joan Bayega | AI/ML Engineer & Product Developer
2 shared topicsartificial-intelligence
73match
madarame.dev
Aurelius Nguyen — ML Engineer & AI Researcher
2 shared topicsartificial-intelligence
71match
geddydukes.com
Geddy Dukes - AI/ML Engineer
2 shared topicsartificial-intelligence
71match
dinankbista.com
Dinank Bista | Dinankbista | PhD Researcher & Software Engineer
2 shared topicsartificial-intelligence
71match
mohammadshaaban.com
Mhd Shaaban | DevOps Engineer
2 shared topicsartificial-intelligence
70match
kofisunu.com
Emmanuel Sunu - AI/ML Engineer & WordPress Expert
2 shared topicsartificial-intelligence
70match
heytob.com
Tobi Ahmad | Backend Engineer & AI Researcher
2 shared topicstechnology-and-computing
70match
gamikakj.dev
Gamika Jayawardana | AI ML Engineer & Full Stack Developer
2 shared topicsartificial-intelligence
70match
calvinku.dev
calvin.dev — AI engineer & developer advocate
2 shared topicsartificial-intelligence
70match
divyamaan.com
Divyamaan Singh — AI/ML Engineer
2 shared topicsartificial-intelligence
70match
anishgada.com
Anish Gada - Engineer, Researcher & Builder.
2 shared topicsartificial-intelligence
70match
campdreamga.com
Mr. Swain — AI Developer & Automation Engineer | Atlanta, GA
2 shared topicsartificial-intelligence
70match
antolick.ai
David Antolick | AI/ML Engineer
2 shared topicsartificial-intelligence
70match
istiqlalaurangzeb.com
Istiqlal Aurangzeb | Software Engineer, AI Researcher, Clemson University
2 shared topicsartificial-intelligence
69match
angelapurcell.com
Angela Purcell - Backend Engineer | Blockchain & AI Developer
2 shared topicsartificial-intelligence
69match
israr.ai
Israr Ahmad Awan - AI/ML Scientist & Full Stack Engineer
2 shared topicsartificial-intelligence
69match
dlobaton.com
Daniel Lobaton — Research Engineer
2 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.