Vetted React Native Professionals

Pre-screened and vetted.

QG

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
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HT

Senior Full-Stack Software Engineer specializing in large-scale streaming platforms

Seattle, WA10y exp
DisneyNYU
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AS

Akshat Shah

Screened ReferencesStrong rec.

Entry-level Software Engineer specializing in full-stack and AI systems

Los Angeles, CA1y exp
Integrated Media Systems CenterUSC

Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.

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DM

Dinesh Mishra

Screened

Executive AI Product Leader specializing in FinTech and agentic AI platforms

San Francisco, CA19y exp
PayzoMoney.aiVellore Institute of Technology

Fintech/neobank CTO (5+ years across US and UK markets) now building Payzo Money, a fintech copilot for SMBs covering expenses, accounting, invoicing, and payroll. Pre-revenue and seeking a $5M seed round, with active Bay Area conversations and a clear focus on bank sponsorship plus compliance/operations readiness; leverages Claude-based AI agents to accelerate building with limited resources.

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Michael Kaufman - Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms in Seattle, WA

Mid-Level Full-Stack Software Engineer specializing in mobile and web platforms

Seattle, WA5y exp
AmazonUC San Diego

iOS-focused engineer who led feature development for Amazon Books/Kindle (e.g., Series & Story So Far recaps, Kindle Memories) and introduced pure Swift packages while building sync and content download systems. Also has full-stack experience (React/TypeScript + Node with REST/GraphQL) and strong AWS operations (CDK/CI-CD, CloudWatch, canaries, autoscaling), plus founder experience at GLXY.ai shipping an early hardware MVP (weight sensors) under tight constraints.

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Deepit Shah - Entry Software Engineer specializing in AI infrastructure and ML inference systems in Seattle, WA

Entry Software Engineer specializing in AI infrastructure and ML inference systems

Seattle, WA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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RK

Intern Software Engineer specializing in frontend dashboards and mobile apps

1y exp
BNY MellonCarnegie Mellon University
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David Sim - Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms in Cliffside Park, NJ

Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms

Cliffside Park, NJ13y exp
Johnson ControlsTexas A&M University
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SL

Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices

Remote14y exp
CitigroupUniversity of Pennsylvania
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EW

Entry-Level Software Development Engineer specializing in AWS serverless and distributed systems

Sunnyvale, CA1y exp
AmazonUSC
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TT

Senior Full-Stack Engineer specializing in scalable web applications

Remote12y exp
Flex StorageSalisbury University
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DC

Mid-level GTM & RevOps professional specializing in HealthTech and AI commercialization

New York City, NY4y exp
Neura HealthMIT Sloan School of Management
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SL

Senior Software Engineer specializing in AI/LLM and distributed cloud systems

Renton, WA12y exp
MicrosoftUC San Diego
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IA

Senior Full-Stack Engineer specializing in React, Node.js, and cloud-native web platforms

Austin, TX5y exp
AppleSouthern Arkansas University
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CC

Intern Software Engineer specializing in full-stack and distributed systems

Seattle, WA0y exp
StarbucksHarvard University
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YC

Intern Software Engineer specializing in AI/ML and LLM retrieval systems

San Francisco, CA1y exp
RipplingUniversity of Pennsylvania
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HG

Senior Technology Consultant specializing in cloud, data engineering, and AI solutions

5y exp
EYCornell University
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ML

Junior Software Engineer specializing in AI infrastructure and applied machine learning

Sunnyvale, CA2y exp
GoogleUniversity of Pittsburgh
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MR

Junior Software Engineer specializing in bioinformatics and healthcare applications

Philadelphia, PA4y exp
The Wistar InstituteUniversity of Pennsylvania
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MS

Matt Shade

Screened ReferencesStrong rec.

Director-level AI engineering leader specializing in media platforms and newsroom workflows

New York, NY19y exp
NBCUniversalMount Ida College

Product-minded frontend/UX leader with notable experience at CNBC, where they owned premium subscription and engagement flows from problem definition through production and post-launch iteration. They stand out for combining high-polish React implementation, Figma-driven systems thinking, and AI-assisted prototyping to quickly ship and refine conversion-focused experiences.

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