Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to talmaj.com

Talmaj Marinč — Senior AI/ML Engineer · ranked by shared content topics & relevance
74match
antarmf.com
Antar Moratona Franco — Senior AI/ML Engineer
1 shared topicsartificial-intelligence
74match
kokouadje.com
Kokou Adje — AI/ML Engineer
1 shared topicsartificial-intelligence
74match
rezautomo.com
Reza Dwi Utomo — Senior | AI/ML Engineer | Data Scientist
1 shared topicsartificial-intelligence
73match
islamelhosary.com
Eslam Elhosary - Senior AI/ML Engineer
1 shared topicsartificial-intelligence
73match
andvri.com
Javier Martinez — Senior Applied AI Engineer
1 shared topicsartificial-intelligence
73match
mohsinmehmood.com
Mohsin Mehmood — AI/ML Engineer
1 shared topicsartificial-intelligence
72match
helloviks.com
Vikas Kumar | AI/ML Engineer
1 shared topicsartificial-intelligence
71match
dileepkapu.com
Dileep Kumar Reddy Kapu — Senior ML & AI Engineer
1 shared topicsartificial-intelligence
71match
anthonyjairam.com
Anthony Jairam: Applied AI/ML Engineer
1 shared topicsartificial-intelligence
70match
diomar.dev
Diomar Martínez | Senior AI Engineer & Full Stack — Automation, Zoho, LLMs
1 shared topicsartificial-intelligence
70match
surajaiml.com
Suraj Yadav | AI/ML Engineer
1 shared topicsartificial-intelligence
70match
rezapirighadim.com
Reza Pirighadim — Senior AI Engineer & Backend Architect · Istanbul
1 shared topicsartificial-intelligence
70match
anikjha.com
Anik Jha | ML Engineer
1 shared topicsartificial-intelligence
70match
itrisha.com
Trisha Karani | Biotech AI/ML Engineer
1 shared topicsartificial-intelligence
70match
octalcode.com
Octalcode — Senior AI engineering studio | LLM apps, agents, MLOps
1 shared topicsartificial-intelligence
70match
itayturgeman.com
Itay Turgeman - Senior Robotics Engineer | AI/ML Specialist Los Angeles
1 shared topicsartificial-intelligence
70match
itsali.dev
Senior Full-stack Engineer
1 shared topicsartificial-intelligence
70match
suwansankaja.com
Suwan Sankaja — Data Engineer & AI/ML Enthusiast
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.