Vetted Large Language Models (LLMs) Professionals

Pre-screened and vetted.

MN

Mid-level Full-Stack AI Engineer specializing in RAG systems and intelligent automation

Ottawa, Canada3y exp
ABC TeknologiesPir Mehr Ali Shah Arid Agriculture University Rawalpindi
View profile
VC

Junior Full-Stack Software Engineer specializing in Python, React, and AWS

Jefferson City, MO2y exp
State of MissouriSouthern Arkansas University
View profile
MN

Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision

United States8y exp
PaklogicsGovernment College University, Faisalabad
View profile
MN

Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision

United States8y exp
PaklogicsGovernment College University, Faisalabad
View profile
GG

Senior Unity/AR/VR Engineer specializing in immersive mobile experiences

16y exp
Terrys FabricsAGH University of Krakow
View profile
JG

Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards

Los Angeles, CA2y exp
Direct A/VCalifornia State University, Fullerton
View profile
NA

Senior AI/ML Engineer specializing in NLP, LLMs, speech, and computer vision

United States8y exp
PaklogicsGovernment College University, Faisalabad
View profile
DY

Entry-Level Software Engineer specializing in backend services and applied ML

Orlando, FL0y exp
University of North FloridaUniversity of North Florida
View profile
RD

Junior Machine Learning Engineer specializing in Agentic RAG and Document AI

Durgapur, West Bengal, India2y exp
CAPSITECH IT SERVICES PVT. LIMITEDHaldia Institute of Technology
View profile
KN

Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment

Long Beach, CA0y exp
BeachHacks, CSULBCal State Long Beach
View profile
ZL

Zackary Liel

Screened

Junior Software Engineer specializing in full-stack and systems development

Seaside, CA2y exp
California State University - Monterey BayCalifornia State University, Monterey Bay

Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.

View profile

Need someone specific?

AI Search