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Vetted Snowflake Professionals

Pre-screened and vetted.

SA

Senior Software Engineer specializing in AI platforms and cloud-native systems

Austin, TX5y exp
Beanbag AISan José State University
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AK

Senior Software Engineer specializing in cloud-native backend and full-stack web systems

Dumfries, VA9y exp
Swell PartnersUniversity of Karachi
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NP

Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends

Dallas, TX4y exp
Sage ITUniversity of Texas at Dallas
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TT

Mid-level AI/ML Data Engineer specializing in MLOps and Generative AI

Dallas, Texas3y exp
University of North TexasUniversity of North Texas
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ON

Senior QA Engineer specializing in web, mobile, and SaaS test automation

New York, NY9y exp
Lunchbox TechnologiesSGH Warsaw School of Economics
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MK

Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps

Dallas, Texas5y exp
Artisan AIUniversity of North Texas
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YK

Senior AI & Full-Stack Software Engineer specializing in LLM platforms and MLOps

San Francisco Bay Area, CA4y exp
CXAICalifornia State University, East Bay
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SL

Executive CTO specializing in SaaS and Financial Services platforms

Greater Boston Area, MA26y exp
Quantum5Worcester Polytechnic Institute
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SK

Mid-level MLOps/Machine Learning Engineer specializing in cloud-native production ML

Walnut Creek, CA4y exp
Mechanics BankWebster University
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SV

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable model deployment

Minneapolis, MN3y exp
Arcane SystemsUniversity of Central Florida
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SP

Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps

Remote, USA6y exp
DXC TechnologyMontclair State University
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VS

Mid-level AI Product Engineer and Data Analyst specializing in LLM automation

Baltimore, MD3y exp
PayPalUniversity of Maryland, Baltimore County
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AC

Senior SDET specializing in test automation for .NET, APIs, and cloud-native systems

Richmond, VA12y exp
Select HealthUniversity of the Punjab
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SM

Senior Growth & Lifecycle Marketing professional specializing in CRM automation for DTC e-commerce

Los Angeles, CA12y exp
ANOUKIIvane Javakhishvili Tbilisi State University
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PI

Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs

Riverside, CA2y exp
California Air Resources BoardCalifornia State University, Fullerton
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DF

Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare

Princeton, Texas9y exp
NextGen CapitalUniversity of Texas at Dallas
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SL

Senior Data Engineer specializing in Machine Learning and Healthcare Data Platforms

WoodBridge, VA12y exp
Uncommon AnalyticsUniversity of Phoenix
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UK

Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP

India3y exp
Hue LogicsSan José State University
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AR

Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications

United States7y exp
Futuristic Labs
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HA

Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications

Virginia, United States9y exp
Futuristic Labs
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WW

Senior Full-Stack Software Developer specializing in React/Next.js and Node.js

Port Harcourt, Nigeria6y exp
Token Metrics
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SJ

Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation

San Jose, CA4y exp
San José State UniversitySan José State University

Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.

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JC

Jeet Choksi

Screened

Mid-level Machine Learning Engineer specializing in real-time AI and data platforms

New York, NY3y exp
MyEdMasterUniversity of Colorado Boulder

ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.

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