Vetted Jest Professionals

Pre-screened and vetted.

JZ

Senior AI/ML Engineer specializing in applied AI and scalable backend systems

Palo Alto, CA14y exp
WaymoHarvard University
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CZ

Senior Full-Stack Engineer specializing in AI/ML platforms and cloud-native systems

Redwood City, CA12y exp
Fireworks AIUC Berkeley
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AK

Senior Software Engineer specializing in distributed systems, AI/ML, and healthcare platforms

Mountain View, CA10y exp
AmazonGeorgia Tech
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BW

Senior Full-Stack Engineer specializing in Python APIs and cloud platforms

Austin, Texas9y exp
AffirmCornell University
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JL

Staff Software Engineer specializing in AI platforms and FinTech infrastructure

San Francisco, CA10y exp
AirbnbDuke University
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MJ

Staff Software Engineer specializing in large-scale commerce and payments

Austin, TX13y exp
GoogleUniversity of Texas at Austin
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JD

Senior Software Engineer specializing in distributed systems and high-scale backend platforms

Seattle, Washington8y exp
TikTokUniversity of Washington
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NH

Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling

Waterford, MI7y exp
GoogleUniversity of Connecticut
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JD

Senior Software Engineer specializing in backend distributed systems

Milpitas, CA12y exp
MetaUC Berkeley
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MP

Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data

Berkeley, CA12y exp
GoogleColgate University
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SZ

Staff Software Engineer specializing in ML infrastructure and data platforms

Los Angeles, CA11y exp
PinterestCarnegie Mellon University
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PT

Staff Software Engineer specializing in FinTech, payments, and AI platforms

San Francisco, CA14y exp
BrexUC Berkeley
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Yang Pan - Staff Software Engineer specializing in AI platforms and cloud microservices in Remote

Staff Software Engineer specializing in AI platforms and cloud microservices

Remote11y exp
GoogleCal Poly San Luis Obispo
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EF

Senior Full-Stack Software Engineer specializing in cloud-native web platforms and FinTech

San Francisco, CA11y exp
MetaCarnegie Mellon University
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LD

Senior Software Engineer specializing in full-stack systems and ML-driven platforms

Manvel, TX11y exp
NetflixUniversity of Texas at Austin
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CT

Staff Full-Stack Software Engineer specializing in cloud platforms and healthcare data pipelines

Remote10y exp
GoogleColgate University
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MW

Senior Software Engineer specializing in backend, AI workflows, and distributed systems

Menlo Park, CA11y exp
MetaUniversity of California
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RW

Senior Full-Stack Software Engineer specializing in SaaS, FinTech, and Web3

La Verne, CA8y exp
SlackUC Berkeley
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JK

Senior Full-Stack Software Engineer specializing in AI-powered distributed systems

Yorba Linda, CA9y exp
MetaUniversity of Florida
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CJ

Senior Full-Stack Engineer specializing in AI and GenAI platforms

Miami, FL12y exp
ChainGPTUniversity of Texas at Austin
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TL

Senior Full-Stack Engineer specializing in backend platforms and data systems

Orlando, FL10y exp
AirbnbUniversity of Florida
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NT

Nathan Telles

Screened

Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services

Sunnyvale, CA13y exp
MetaUC Davis

Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).

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AC

Andrew Coven

Screened

Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms

Los Gatos, CA38y exp
OutputSanta Clara University

Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.

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