Vetted Redux Professionals

Pre-screened and vetted.

DH

Danny Harris

Screened

Senior Full-Stack Developer specializing in JavaScript, cloud, and AI-powered web apps

Springfield, VA10y exp
DigiCertCIIT

Full-stack engineer with 8 years of experience spanning regulated healthcare IoT and enterprise security SaaS. Has worked on a high-growth healthcare equipment platform and DigiCert's certificate lifecycle management product, combining hands-on React/Node.js development with compliance, auditability, and reliability requirements. Currently seeking a more code-heavy role after moving into a more advisory position.

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Omkar Tulsidas Parab - Mid-level Software Engineer specializing in full-stack web and AI applications in United States

Mid-level Software Engineer specializing in full-stack web and AI applications

United States5y exp
ThirthaSoft, LLCUniversity of Florida

Software engineer who owned an Order Management System end-to-end at Reliance Jio, improving large-table performance via UI virtualization shipped behind feature flags and refined through direct ops-user observation. Also built an OCR automation tool at Piramal Realty using Python/Tesseract with validation and manual correction fallbacks, driving adoption by operations teams. Experienced integrating with Kafka-based microservices and improving observability using structured logging and correlation IDs.

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DO

Mid-level Full-Stack Engineer specializing in scalable web platforms

New Albany, OH5y exp
Great American Insurance GroupSaint Louis University

Full Stack Software Engineer with enterprise experience across healthcare, insurance, and internal SaaS systems, combining React/TypeScript/Node.js depth with hands-on LLM feature delivery. Stands out for building secure RBAC architecture and shipping production AI workflow assistance with strong guardrails, monitoring, and human-in-the-loop decisioning in regulated environments.

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VM

Mid-Level Full-Stack/Backend Engineer specializing in AWS, APIs, and GenAI systems

Los Angeles, CA5y exp
AIRKITCHENZCalifornia State University, Fullerton

Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.

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UK

Mid-Level Full-Stack Java Engineer specializing in microservices and cloud platforms

Austin, Texas5y exp
CenteneWebster University

Frontend/platform-leaning engineer who owned a shared React component library (design-system style) adopted across multiple SPAs, with strong discipline around SemVer, deprecation strategy, and developer documentation. Also has backend/distributed-systems experience diagnosing and fixing a Kafka microservice race condition and has led prioritization/migration planning in an unstructured monolith-to-microservices environment (Centene).

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SM

Sadhvik Morla

Screened

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

Remote, USA4y exp
First Republic BankUniversity of South Alabama

Full Stack Engineer with hands-on experience owning customer-facing products end-to-end, emphasizing fast iteration via feature flags and risk-based testing for critical user flows. Built TypeScript/React systems with shared types and clean backend layering, and has microservices experience using RabbitMQ to decouple services and manage scale issues like queue backlogs. Also created an internal dashboard for dev/QA to centralize build/test/deploy visibility and iterated on it through lightweight user research and usage metrics.

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RN

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices

4y exp
American ExpressUniversity of North Texas

Full-stack engineer who owned end-to-end delivery of a customer-facing financial services web platform and built internal tooling for engineering teams. Strong in microservices and event-driven systems (Kafka/RabbitMQ), distributed transaction management (saga), and production performance/observability—achieving ~40% backend response-time improvement through database and query optimization.

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SM

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

WI, USA3y exp
Cardinal HealthAnderson University

Full-stack engineer with enterprise experience at Metasystems Inc. (and Qualcomm) building high-traffic, security-sensitive systems—owned a secure transaction processing module end-to-end using Java/Spring Boot, Python/Django, and React. Strong AWS production operations (EKS/ECS/Lambda/RDS/DynamoDB) with IaC (Terraform/CloudFormation), observability, and reliability patterns; also delivered resilient ETL/integration pipelines with idempotency/retries/backfills and achieved a 50% deployment-time reduction through CI/CD and modular refactoring.

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BK

Bindu Kalam

Screened

Mid-Level Full-Stack Java Developer specializing in FinTech and Healthcare IT

Centerton, AR4y exp
FiservUniversity at Buffalo

Backend engineer with experience building Spring Boot microservices for financial workflows at Fizzle (thousands of requests/minute) and shipping healthcare data validation automation at CVS Health. Demonstrates strong production reliability/performance skills—deep in database tuning (query plans, indexing, caching, denormalization), observability (Prometheus/Grafana), and resilient multi-step workflow design with retries and human-in-the-loop escalation.

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SP

shravya potu

Screened

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

6y exp
Capital OneUniversity of North Texas

Full-stack engineer with experience at Capital One and Prime Softech owning production systems end-to-end: secure authentication (Java/Spring Security + React/Redux) through AWS ECS deployments with Terraform and CI/CD. Strong reliability/observability focus (Prometheus/Grafana/ELK/CloudWatch) with quantified improvements (15% reliability gain, 30% fewer post-release defects). Also led legacy monolith-to-microservices refactors and built real-time Kafka/Spark ingestion pipelines for analytics/fraud detection.

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VK

Senior Software Engineer specializing in cloud-native event-driven microservices

TX, USA6y exp
VerizonMalla Reddy College of Engineering & Technology

Full-stack engineer experienced shipping production SaaS dashboards with Next.js App Router + TypeScript, combining Server Components for initial data loads with interactive client-side analytics. Strong performance/operability focus (reported ~40% UI latency reduction) and deep backend fundamentals across Postgres schema/query optimization and Kafka-based event-driven microservices with idempotency, retries, and DLQs.

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SC

Mid-level Full-Stack Developer specializing in React/Node, GraphQL, and Databricks lakehouse

Dallas, TX6y exp
Southern Glazer's Wine & SpiritsWebster University

Full-stack engineer currently at Southern Glazer’s who built and owned a real-time commercial finance expense analytics dashboard end-to-end (Next.js App Router + TypeScript), including post-launch monitoring, data quality checks, and stakeholder-driven iteration. Strong data/analytics backend experience (Postgres modeling and Databricks Delta Lake pipelines) with demonstrated performance wins—e.g., cutting a key reconciliation query from 8–12s to <400ms and improving frontend load time ~40% with a 25% bounce-rate drop at Verizon.

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YZ

Yanbin Zuo

Screened

Mid-Level Software Engineer specializing in React/TypeScript and GraphQL

Sacramento, CA4y exp
HCLTechUC Davis
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RS

Mid-Level Backend Engineer specializing in Java/Spring Boot and LLM-integrated microservices

Chicago, IL5y exp
Bank of AmericaUniversity at Buffalo

Built and deployed a live production LLM document Q&A platform (DocumindAI) with an adaptive RAG pipeline (Claude + Cohere embeddings + pgvector), source-cited structured outputs, and engineered fallbacks for reliability and sub-2s latency. Also has enterprise integration experience at Tech Mahindra working with messy IFS ERP XML integrations, using validation/normalization and JTA transactions to prevent partial writes and data corruption.

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Rushwant K - Mid-Level Full-Stack Software Engineer specializing in FinTech and microservices in United States, Remote

Rushwant K

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and microservices

United States, Remote4y exp
DiscoverGeorge Mason University

Backend engineer with experience at Discover, Dell, and Carpus building high-concurrency microservices and secure APIs. Delivered measurable impact in fintech workflows by integrating credit bureaus (TransUnion/Experian), cutting loan processing from days to minutes and reducing latency 65% through PostgreSQL tuning and caching. Strong in production security patterns (JWT/RBAC, Postgres row-level security for multi-tenant isolation) and low-risk migrations (shadow mode + incremental rollout).

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Bandla Sai Giridhar - Mid-level Software Engineer specializing in full-stack and cloud-native microservices in Dallas, TX

Mid-level Software Engineer specializing in full-stack and cloud-native microservices

Dallas, TX4y exp
Northern TrustUniversity of Texas at Arlington

Backend engineer who built a Python/Flask system for high-volume healthcare claims processing, using PostgreSQL as the source of truth and RabbitMQ workers for scalable async processing. Experienced in SQLAlchemy/Postgres performance tuning, multi-tenant data isolation (including Postgres RLS), and integrating/versioning ML model services (scikit-learn/PyTorch/Hugging Face) with controlled rollouts. Drove measurable performance gains by batching background jobs and adding Redis caching (40% less workload; response times cut from ~10s to 2–3s).

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Krishna Madani - Mid-Level Full-Stack Software Developer specializing in cloud-native web applications in New York City, NY

Mid-Level Full-Stack Software Developer specializing in cloud-native web applications

New York City, NY4y exp
CrewasisNortheastern University

Capgemini engineer with hands-on ownership of production TypeScript backend integrations and loyalty-platform modernization. Built AWS event-driven microservices (SNS/SQS/Lambda) with GraphQL vendor calls and DynamoDB persistence, emphasizing reliability patterns like retries and idempotency; reports ~25% response-time improvement after migrating/optimizing services and workflows.

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AS

Senior Full-Stack Software Engineer specializing in scalable enterprise applications

Warrensburg, MO6y exp
Bain & CompanyUniversity of Central Missouri

Full-stack engineer who described building Matrix, a meeting-room booking system across React, ASP.NET Core, and SQL Server. Stands out for owning the workflow end-to-end, emphasizing backend-enforced booking conflict validation, React performance optimization, and integrations like Google Calendar and email notifications.

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Niranjaan Munuswamy - Mid-level Full-Stack Software Engineer specializing in cloud and data engineering in Chicago, IL

Mid-level Full-Stack Software Engineer specializing in cloud and data engineering

Chicago, IL4y exp
CignaIllinois Institute of Technology

Backend engineer with experience at Cigna evolving REST API services backed by PostgreSQL, emphasizing reliability/correctness, scalability, and observability. Has hands-on production experience with FastAPI (contract-first design, Pydantic schemas), performance tuning (indexes, caching), and secure auth patterns (OAuth/JWT, RBAC, row-level security via Supabase), plus low-risk incremental rollouts using feature flags and dual writes.

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AA

Mid-level Backend Software Engineer specializing in cloud-native microservices

Austin, TX4y exp
CignaUniversity of Kansas

Backend/platform engineer with experience across Cigna, Cognizant, and a university environment, focused on reliability, distributed systems, and regulated-domain workflows. Stands out for combining Kubernetes/Kafka/AWS infrastructure expertise with a production RAG-based healthcare compliance assistant that cut manual reporting work from 30-45 minutes to under 2 minutes while maintaining strong uptime and data-quality controls.

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Lawrence Prabhakar - Mid-level Full-Stack Java Developer specializing in FinTech in USA

Mid-level Full-Stack Java Developer specializing in FinTech

USA5y exp
State StreetColorado State University

Engineer with a thoughtful, hands-on approach to AI-assisted software development, treating AI as a force multiplier for debugging, prototyping, and large-codebase work rather than a substitute for judgment. Particularly strong in multi-agent coding workflows, contract-driven development, and maintaining consistency across backend, frontend, and testing through shared schemas and OpenAPI-based coordination.

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PK

Phani Konni

Screened

Mid-level Full-Stack Software Engineer specializing in agentic AI and document automation

San Francisco, CA3y exp
Lowe'sUniversity of North Texas

Software engineer who recently shipped an authentication and role-based access feature for a web app, using AI selectively for boilerplate, debugging, and test suggestions while retaining ownership of architecture, security, testing, and final review. Stands out for a disciplined, security-first approach to AI-assisted development and a pragmatic preference for lightweight API-driven solutions over unnecessary framework complexity.

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RG

Robert Glaser

Screened

Senior Software Engineer specializing in front-end development and web accessibility

San Jose, CA9y exp
PayPalCalifornia State University, Sacramento

Frontend-leaning full-stack engineer with experience at Florida Blue and Yahoo, including building a React/Redux/Node/Mongo proof-of-concept application end-to-end and contributing dashboard enhancements in a high-usage environment. Has also operated in a lead capacity by reviewing requirements and prompting business-side refinements that improved project clarity.

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Janki Mehta - Senior Frontend React Developer specializing in scalable web applications in Fremont, CA

Janki Mehta

Screened

Senior Frontend React Developer specializing in scalable web applications

Fremont, CA10y exp
Shreeji Foods and ServicesLawrence Technological University

Frontend-focused product engineer in healthcare who has owned patient/provider scheduling experiences end-to-end, from product requirements and API design through React implementation, deployment, and post-launch measurement. Particularly strong in real-time operational dashboards, performance optimization, and cross-functional work with backend and product teams on complex scheduling workflows.

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