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Vetted JSON Professionals

Pre-screened and vetted.

TF

Senior Full-Stack Software Engineer specializing in SaaS, cloud-native systems, and AI/ML

Austin, TX11y exp
Amazon Web ServicesCollege of Charleston
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W(

Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML

Monroe, WA8y exp
MicrosoftUniversity of Washington
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SY

Senior Quality Engineer specializing in mobile and web application testing

Beaverton, Oregon10y exp
Nike
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SV

Mid-Level Software Engineer specializing in FinTech payments and risk platforms

CA, USA6y exp
StripeUniversity of Memphis
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EI

Senior Cloud DevOps Engineer specializing in AWS/Azure platform engineering

Frisco, TX11y exp
Dell TechnologiesUniversity of Lagos
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MC

Senior Backend Software Engineer specializing in AWS-native Python systems

San Francisco, CA12y exp
HubSpotUC Irvine
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GD

Mid-Level Software Development Engineer specializing in cloud infrastructure and automation

Seattle, WA6y exp
Amazon Web ServicesSanta Clara University
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AY

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

4y exp
AnthropicSaint Peter's University
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AA

Mid-Level Software Engineer specializing in payments, fraud detection, and risk analytics

San Francisco, CA5y exp
StripeGannon University
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CP

Mid-level Full-Stack Java Developer specializing in microservices and cloud on AWS

Austin, Texas6y exp
VisaWebster University
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JB

Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration

Austin, TX11y exp
PuzzleHRUniversity of Bristol
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SR

Senior Java Full-Stack Developer specializing in cloud-native microservices

6y exp
Ant GroupUniversity of Central Missouri
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FG

Junior Data Engineer specializing in cloud ETL and analytics platforms

Palo Alto, CA2y exp
TencentUCLA
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KW

Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems

Shenzhen, China0y exp
TencentVirginia Tech
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KS

Staff Product Manager specializing in FinTech and enterprise SaaS platforms

Santa Clara, California9y exp
BILLRochester Institute of Technology
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BK

Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI integration

Jersey City, NJ3y exp
UberPace University

Backend/distributed-systems engineer with Uber experience building real-time telemetry and safety signal pipelines. Strong in Kafka-based event-driven architectures, low-latency processing under peak load, and production reliability via monitoring, retries, and fallback logic; has Docker/Kubernetes and CI/CD deployment experience.

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SR

Mid-level Software Engineer specializing in backend microservices and real-time payments

Phoenix, AZ5y exp
American ExpressUniversity of Dayton

Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.

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AY

Arwen Yang

Screened

Staff Applied Scientist specializing in multimodal LLM safety, robustness, and retrieval

Los Altos, CA8y exp
LibrAIUniversity of Melbourne

Built a production LLM-driven archival assistant that turns large, low-quality scanned handwritten files (120+ pages) into structured datasets, overcoming context-window and hierarchy challenges with a two-phase LLM + rules pipeline and reaching 98.1% accuracy (Gemini-2.5 Flash). Also orchestrated a large human-in-the-loop effort with 78 archivists, producing 2,400 high-quality annotations in 4 days via detailed rubrics and support.

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VM

Vaibhav More

Screened

Senior Technical Support Engineer specializing in SaaS integrations, APIs, and identity federation

San Jose, CA5y exp
AtlassianNortheastern University

AppSec/customer security specialist with Atlassian enterprise cloud migration experience, advising on SSO and API token hardening and driving adoption through phased rollouts. Implemented Snyk (SCA) and SonarQube (SAST) in Bitbucket Pipelines with Jira-based vuln workflows, cutting critical vuln MTTR from 30 to 7 days for financial services customers. Strong in SSO troubleshooting (Okta/SAML) and secure AWS/EKS-based agent integrations with secrets management and Datadog observability.

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