Vetted OAuth 2.0 Professionals

Pre-screened and vetted.

MH

Senior Software Engineer specializing in enterprise AI/LLM integration and full-stack systems

Redmond, WA12y exp
MicrosoftUniversity of Central Florida
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YX

Senior Software Engineer specializing in distributed systems and cloud platforms

RedWood, CA9y exp
NetflixUniversity of Delaware
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RT

Senior Full-Stack Software Engineer specializing in developer tools and QA automation

Somerville, MA8y exp
GitHubMIT
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BW

Senior Software Engineer specializing in FinTech payments infrastructure

Brunswick, GA13y exp
StripeTufts University
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CT

Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems

Los Angeles, CA10y exp
GoogleUniversity of Texas at Arlington
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MK

Senior Full-Stack Software Engineer specializing in scalable web platforms and cloud services

Bellerose, NY10y exp
GoogleConnecticut College
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AT

Senior Python Engineer specializing in cloud infrastructure, media services, and IoT

Seattle, WA17y exp
AppleUniversity of Waterloo
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KZ

Senior Applied AI Engineer specializing in enterprise AI and ML platforms

San Diego, CA10y exp
GleanUCLA
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BR

Senior Software Engineer specializing in distributed systems and cloud infrastructure

Arlington, TX12y exp
NetflixVirginia Tech
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YC

Senior Software Engineer specializing in scalable web apps, real-time systems, and AI integration

San Jose, CA12y exp
MetaBrandeis University
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Garland, TX14y exp
AmazonUniversity of Texas at Dallas
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JV

Senior Full-Stack Software Engineer specializing in scalable web platforms

Texas, United States10y exp
GoogleUniversity of Texas at Austin
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KS

Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms

Cracow, PL10y exp
GoogleMaynooth University
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AS

Senior Software Engineer specializing in Healthcare AI and FinTech platforms

Baton Rouge, LA13y exp
GoogleLouisiana State University

Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.

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JW

Staff Software Engineer specializing in SaaS platforms across Healthcare and FinTech

Katy, TX11y exp
AmwellUniversity of Texas at Austin
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Remote14y exp
AmazonUniversity of Texas at Dallas
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BK

Senior Software Engineer specializing in distributed systems and cloud infrastructure

New York, NY8y exp
GoogleNYU Tandon School of Engineering
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CB

Senior Software Engineer specializing in cloud-native microservices and large-scale backend systems

Houston, TX10y exp
GoogleUniversity of Texas at Austin
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SS

Saleem Sultan

Screened ReferencesStrong rec.

Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation

Dallas, TX10y exp
HCSCCornell University

Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.

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DG

Mid-level Full-Stack Developer specializing in Java/Spring Boot and React

Seattle, WA5y exp
ShopifySaint Louis University

NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.

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