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Vetted Redux Toolkit Professionals

Pre-screened and vetted.

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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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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RT

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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MP

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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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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SN

Senior Python Developer specializing in FastAPI, Django, and cloud-native web applications

Reno, NV8y exp
Plumas BankJawaharlal Nehru Technological University

Backend engineer working on Plumas Bank’s digital modernization, building a FastAPI-based loan origination/processing system with OAuth2/JWT security, AWS Lambda-driven PDF document generation to S3, and MongoDB integration. Has led a legacy workflow migration to a new microservice using dual-write/dual-read and monitoring, and emphasizes multi-tenant isolation via layered API controls plus row-level security.

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RR

Mid-level Full-Stack Java Engineer specializing in banking microservices and AI backends

St. Louis, MO4y exp
PNCSaint Louis University

Backend-focused software engineer building distributed, event-driven Java/Spring Boot microservices with Kafka for low-latency, high-frequency processing. Has hands-on experience modernizing a legacy Java system into containerized microservices deployed on Kubernetes with GitHub Actions CI/CD, and has integrated retrieval-based AI components into production workflows; no ROS/robot hardware experience yet.

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RK

Ramyasree K

Screened

Mid-level DevOps/Cloud Engineer specializing in AWS infrastructure automation

Boston, MA4y exp
Mass General BrighamAustralian National University

Frontend engineer with experience building a large-scale React + TypeScript administrative dashboard for an e-commerce platform, using Redux Toolkit plus TanStack Query to separate UI and server state. Emphasizes quality at scale through CI/CD automation, Jest/integration testing, and performance techniques like code splitting and caching, with experience coordinating integration across multiple teams.

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PG

Senior Mobile Software Engineer specializing in secure React Native and Bitcoin wallets

Blacksburg, VA6y exp
Commonwealth Cyber InitiativeVirginia Tech

Built and evolved the backend-adjacent platform for a self-custody Bitcoin wallet used by 2000+ users, emphasizing security-first architecture that avoids custodial risk by keeping private key operations client-side. Demonstrates strong API reliability and security depth (FastAPI contract-first design, idempotency, state-machine modeling, JWT/device-aware auth) and has reduced production failures by hardening signing flows against poor connectivity.

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UA

Utkarsh Aman

Screened

Senior Frontend Engineer specializing in scalable consumer apps and micro frontends

San Francisco, California7y exp
Invisible AIConestoga College

Frontend engineer focused on React/TypeScript dashboards for manufacturing-cycle analytics (downtime/wait time/cycle time). Has hands-on experience building reusable charting components (JSON-to-graph) with React ECharts, scaling data flows with Redux/RTK Query, and refactoring monolithic UI code into modular components while shipping on a ~3-week release cadence.

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HK

Mid-Level Full-Stack .NET Developer specializing in cloud-native microservices and AI integration

Orlando, FL4y exp
State of FloridaFlorida International University

Software engineer with hands-on experience building and maintaining a React accessibility utility/component library (open-source-style) used across university portals, emphasizing WCAG 2.2 compliance, robust focus/keyboard behavior, and Jest/React Testing Library coverage. Also built and maintained .NET Core microservices at the Florida Department of Transportation, including integrating AI-driven features, with strong ownership around observability, incident response, and performance-focused refactoring.

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SA

Sanjana Akula

Screened

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

New York, NY5y exp
Wells FargoNJIT

Front-end engineer with experience at Optum and Wells Fargo maintaining internal React/Angular component libraries and design-system-aligned UI modules used across multiple apps. Known for stabilizing shared libraries via semantic versioning, Jest test automation, and high-quality documentation, plus measurable performance wins (≈40% faster dashboard loads) through profiling-driven React and API optimizations.

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LR

Mid-level Full-Stack/Backend Java Developer specializing in IAM and microservices

Tucson, Arizona3y exp
CognizantUniversity of Arizona

Full-stack Java developer (~4 years) who built a telecom asset management system end-to-end with React and Spring Boot, and led/participated heavily in migrating it from a monolith to Spring Cloud-based microservices. Experienced with high-volume, data-driven workloads using Kafka (partitioning, batching, resilient consumers) and production observability via centralized logging with ELK and Splunk.

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SK

Mid-level Full-Stack Developer specializing in Java, Spring Boot, and cloud-native web apps

Menasha, WI5y exp
Network HealthConcordia University

Full-stack engineer with strong React/TypeScript and Java Spring Boot microservices experience who has built end-to-end task management and real-time, data-intensive dashboards. Demonstrates practical depth in security (JWT, RBAC, token refresh), performance optimization (indexing/aggregations, virtualization, caching), and cloud deployment (AWS, Docker, Jenkins, Kubernetes).

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PM

Pooja Miryala

Screened

Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for banking and healthcare

Ohio, USA4y exp
Fifth Third BankYoungstown State University

Deployed a real-time LLM-driven call center summarization and agent-assist platform at Fifth Third Bank, combining transformer models (BERT/GPT) with FastAPI inference on AKS and vector storage (ChromaDB/PostgreSQL). Emphasizes production-grade reliability (autoscaling, CI/CD, monitoring) and measurable evaluation (A/B testing), and translates model outputs into business-facing Power BI insights for call center leadership.

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PK

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and data analytics

Oklahoma City, USA5y exp
Wells FargoOklahoma City University

Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.

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SG

Mid-level Full-Stack Software Engineer specializing in cloud-native systems and identity verification

Jersey City, NJ4y exp
Charles SchwabLong Island University Brooklyn

Full-stack developer with strong cloud/on-prem focus (AWS, VPC networking) who has improved production reliability by bringing manually created IAM/security group resources under Terraform and standardizing environments. Demonstrated end-to-end troubleshooting across app + infrastructure + networking (traffic capture revealed proxy response truncation) and delivered Python-based monitoring/reporting enhancements that improved ops visibility and turnaround.

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DB

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

Kansas, null5y exp
Cardinal HealthUniversity of Central Missouri

Senior full-stack engineer with strong healthcare domain experience who has shipped an Azure OpenAI RAG-based patient medication support chatbot to production, driving ~10K queries/month and a reported 38% reduction in call center volume. Also builds polished real-time React/TypeScript pharmacy tooling and operates large-scale Python/Spark ETL pipelines (~12M records/day) with strong API design, observability, and cloud deployment experience across Azure/Kubernetes and AWS.

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DP

Junior Software Engineer specializing in cloud-native microservices and applied NLP

Baltimore, MD3y exp
CVS HealthUniversity of Maryland, Baltimore County

Backend engineer who built an AI-driven "Smart Feedback Analyzer" API (Flask → FastAPI) that processes user feedback with NLP (Hugging Face + OpenAI) and returns structured insights. Demonstrates strong production-minded architecture: stateless services, Cloud Run + Docker deployment, Redis/Celery background processing, and Postgres/SQLAlchemy performance tuning (EXPLAIN ANALYZE, indexing, N+1 fixes), plus multi-tenant data isolation via JWT/API-key derived tenant IDs.

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BB

Mid-level Backend Engineer specializing in microservices and event-driven systems

Mclean, VA4y exp
Restaurant Brands InternationalUniversity of Maryland, Baltimore County

Backend-leaning full-stack engineer who has built and operated event-driven microservices platforms (FastAPI/React/TypeScript, Kafka, Kubernetes) and internal DevOps tooling. Delivered measurable impact through user-feedback-driven iteration (WebSockets update mechanism cutting redundant API calls ~30%) and operational improvements (deployment monitoring dashboard reducing rollback time ~40%), with strong focus on reliability, observability, and data consistency at scale.

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HK

Mid-level Full-Stack Developer specializing in cloud-native microservices and real-time data streaming

Remote, USA4y exp
BMODePaul University

Full-stack engineer who has owned React/TypeScript + Spring Boot dashboard products end-to-end, including real-time performance/alerts and data aggregation across services. Strong in shipping MVPs quickly with feature flags, automated testing and CI/CD, and using monitoring/click-path analytics to prioritize work—achieved a 40% page-load reduction. Experienced operating microservices with RabbitMQ at scale, addressing retries/idempotency/observability and fixing duplicate-processing incidents with idempotent consumer patterns and DLQs.

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