Vetted Redux Toolkit Professionals

Pre-screened and vetted.

AB

Mid-level Full-Stack Software Engineer specializing in React/Node and AWS

USA3y exp
Wells FargoUniversity of Illinois Chicago
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RS

Mid-Level Full-Stack Software Engineer specializing in Java/Spring microservices and React

Lubbock, TX5y exp
HoneywellTexas Tech University
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VP

Senior Full-Stack Engineer specializing in scalable web platforms and AI-integrated applications

Boca Raton, FL22y exp
CrestronBrooklyn College
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RN

Mid-level Frontend Developer specializing in React and cross-platform web/mobile apps

Texas, USA5y exp
7-ElevenFlorida International University
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DK

Senior React Developer specializing in scalable enterprise web applications

Plano, TX6y exp
Tech MahindraTowson University
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HC

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

CA, United States7y exp
SafeliteSan Diego State University
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JV

Lead Software Engineer & Manager specializing in Python and JS/TS full-stack systems

Deerfield, IL16y exp
SnapsheetUniversity of Kansas
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IC

Mid-level Full-Stack Java Developer specializing in cloud-native microservices

Arkansas, United States5y exp
WalmartUniversity of Central Missouri
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NR

Senior Full-Stack Developer specializing in React Native and enterprise healthcare apps

USA5y exp
Johnson & JohnsonAuburn University at Montgomery
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BB

Senior Full-Stack Developer specializing in Java microservices and AWS cloud

Remote6y exp
NeogenUniversity of South Dakota
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SG

Senior Full-Stack Engineer specializing in React, microservices, and cloud applications

Dallas, TX8y exp
VerizonUniversity of Houston-Clear Lake
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AP

Ajay Pandit

Screened

Senior Front-End & Mobile Engineer specializing in React, Angular, and FinTech

Remote, Canada15y exp
Pollard BanknoteUniversity of Delhi

Frontend engineer who led an enterprise customer-facing analytics dashboard end-to-end, handling complex visualizations, real-time updates, and high-performance requirements. Demonstrates strong architecture and scale practices across React/TypeScript, Redux Toolkit/RTK Query, GraphQL, and performance techniques like virtualization and code-splitting, plus disciplined QA/rollout with feature flags, Cypress, Sentry/New Relic, and Lighthouse.

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Rajasekhar Tungala - Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration in New York, United States

Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration

New York, United States4y exp
CVS HealthStevens Institute of Technology
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ZY

Zhaoyue Yang

Screened ReferencesModerate rec.

Junior Full-Stack Application Developer specializing in internal web portals

Toronto, Canada3y exp
Great GulfUniversity of Toronto Scarborough

Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.

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Mohana pavan Vankayala - Mid-level Java Full-Stack Developer specializing in microservices and AWS in Overland Park, KS

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

Overland Park, KS4y exp
HCLTechUniversity of Central Missouri

Full-stack engineer (HCL Tech) with 4 years building enterprise, high-throughput microservices on AWS/Azure using Java/Spring Boot and React. Demonstrated measurable performance gains (40% throughput) through Redis caching, deep SQL/query tuning, and Kafka-based async refactors, plus strong DevOps/observability practices with Jenkins/CloudFormation and Datadog/Splunk.

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George Platon - Principal Full-Stack Engineer specializing in AI, DevOps, and cloud platforms in Romania, Romania

George Platon

Screened

Principal Full-Stack Engineer specializing in AI, DevOps, and cloud platforms

Romania, Romania16y exp
Healing.careBabeș-Bolyai University

Built a production end-to-end AI video-to-reels clip extraction system using a multi-agent architecture with transcription, captioning, effects generation, and centralized orchestration. Demonstrates unusually strong systems thinking around reliability, observability, evaluation, and production tradeoffs for LLM-powered workflows, including Kubernetes/Kafka-based deployment and regression-driven prompt governance.

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MV

Mid-Level Software Engineer specializing in Java/Spring microservices and cloud event-driven systems

California, US5y exp
LTIMindtreeCalifornia State University, Long Beach

LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.

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