Vetted Redux Professionals

Pre-screened and vetted.

Gnaneswar Markat - Mid-level Software Engineer specializing in cloud-native distributed systems in Charlotte, NC

Mid-level Software Engineer specializing in cloud-native distributed systems

Charlotte, NC4y exp
Bank of AmericaUniversity at Buffalo

Full-stack engineer with Bank of America experience building and owning a customer portfolio dashboard end-to-end, from requirements through launch and ongoing iteration. They combine React/Spring Boot/PostgreSQL implementation with strong performance tuning, real-time data handling, and UX improvements, and cite adoption by roughly 12,000 active internal users.

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GR

Mid-level Software Engineer specializing in AI platforms and full-stack systems

Cambridge, MA5y exp
PhilipsNortheastern University

Software developer with a one-year Philips co-op who has already applied AI-assisted coding in production, not just side projects. Stands out for using multi-agent development setups with task-specific sub-agents and a clear human-led orchestration philosophy focused on context, quality control, and security.

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NA

Naiya Adatiya

Screened

Mid-level Software Engineer specializing in backend systems and cloud-native microservices

Vermont, USA4y exp
Vermont Information ProcessingNortheastern University

Engineer with a process-driven approach to AI-assisted software development, focused on orchestrating where AI adds value while maintaining human review and verification. Has applied this in backend work such as an S3-based invoice pipeline and used multi-agent workflows to speed up large API refactors across many endpoints.

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Anudeep Eloori - Mid-level Software Developer specializing in full-stack enterprise applications in USA

Mid-level Software Developer specializing in full-stack enterprise applications

USA3y exp
EpsilonUniversity of South Florida

Software engineer with experience building and iterating high-volume Spring Boot microservices on AWS (Docker/Kubernetes) and integrating with React front-ends. Also delivered an LLM-powered document summarization system using embeddings + retrieval (RAG) with grounding/guardrails and built evaluation loops that directly drove retrieval and chunking improvements. Has scaled Kafka-based pipelines processing millions of messy financial/infrastructure records with reliability and cost/latency tradeoff management.

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Aditya Rao - Mid-level Software Engineer specializing in backend, AI, and distributed systems in San Jose, CA

Aditya Rao

Screened

Mid-level Software Engineer specializing in backend, AI, and distributed systems

San Jose, CA5y exp
Snap-onSan Jose State University

Software engineer with 4.5 years of startup experience across programmatic advertising, health tech e-commerce, and automobile diagnostics, plus both bachelor's and master's degrees in CSE. Built an agentic global supply chain platform in a hackathon using a highly structured AI-first workflow, and has hands-on experience designing multi-agent debate systems, rollout safeguards, and observability-driven production fixes.

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Namratha Medaboina - Mid-level Software Engineer specializing in backend systems for healthcare and FinTech

Mid-level Software Engineer specializing in backend systems for healthcare and FinTech

3y exp
CVS HealthUniversity at Buffalo

Built Python-based clinical data processing workflows at CVS Health, automating ingestion, validation, transformation, and ML prediction across multiple healthcare systems. Stands out for combining AI-assisted development with rigorous human review, validation checkpoints, and production monitoring in regulated healthcare environments, including a reported ~26% efficiency improvement.

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BT

Mid-level Software Engineer specializing in AI agents and full-stack platforms

Mountain View, CA4y exp
IntuitMarist College

Full-stack and AI product engineer focused on data instrumentation and tracking-plan automation. They built an end-to-end publish architecture plus an MCP/agent workflow that turns PRDs, Figma files, and meeting transcripts into tracking plans and implementation-ready code, reportedly shrinking work from 4-5 days to minutes. They also show strong judgment around productionizing LLM systems, with tool-centric prompt design, backend guardrails, and human-in-the-loop controls for high-risk actions.

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GM

Mid-level Frontend Developer specializing in React e-commerce experiences

Boston, MA6y exp
Lumovy Technology SolutionsAzerbaijan State Oil and Industry University

Frontend engineer with hands-on experience building React/Next.js/TypeScript production features, including a driver partner registration site and a statistics dashboard with interactive maps. Demonstrates practical strength in reusable component design, CSS/layout debugging, responsive UI quality, and performance optimization for data-heavy interfaces.

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PG

Senior Software Engineer specializing in full-stack enterprise web applications

New Jersey, USA8y exp
CamaresMontclair State University

Senior software developer with hands-on experience building real-time React + TypeScript dashboards and map-based visualization tools for large datasets. Stands out for practical frontend performance work in production, including memoization, virtualization, debouncing, lazy loading, and Google Maps optimization for thousands of records or points.

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Michael Zhu - Mid-level Frontend Software Engineer specializing in React and e-commerce UI in West Hollywood, CA

Michael Zhu

Screened

Mid-level Frontend Software Engineer specializing in React and e-commerce UI

West Hollywood, CA5y exp
TapcartUC Irvine

Frontend engineer with strong React/TypeScript depth who has shipped reusable CMS-driven UI architecture and improved production performance by eliminating inefficient per-component API calls. Particularly strong in maintainable component design, pagination/state management, and practical UX optimization using tools like Chrome DevTools and Theme UI.

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Vinay K Naidu - Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

Vinay K Naidu

Screened

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

5y exp
Aurora Health CareUniversity of Dayton

Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.

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BD

Brooks DuBois

Screened

Senior Full-Stack Engineer specializing in web platforms across FinTech and automotive

Bridgeport, CT8y exp
FreelanceKeene State College

Frontend engineer with production experience at UWM and Ford.com, focused on complex UI architecture, dynamic form systems, and high-performance interactive experiences. Stands out for rebuilding problematic React/Redux patterns into reactive RxJS-driven architectures, with measurable wins like reducing an 8-second, 5,000-request widget to a fast, stable experience, and for also building advanced personal projects in Solid.js, mapping, and WebGL.

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Priyadarshini Vykuntapu - Mid-level Software Developer specializing in full-stack systems for FinTech and industrial platforms in USA

Mid-level Software Developer specializing in full-stack systems for FinTech and industrial platforms

USA3y exp
HoneywellUniversity at Buffalo

Enterprise full-stack engineer with experience at Honeywell and Wells Fargo, spanning real-time telemetry dashboards and digital banking systems. Stands out for owning production systems end to end, improving performance in high-scale environments, and driving architectural modernization that reduced release times and improved reliability.

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PN

Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems

United States5y exp
MastercardUniversity of Central Missouri

Backend/data engineer with hands-on production experience across Python REST APIs and PostgreSQL, plus AWS containerized deployments using CloudFormation, Jenkins CI/CD, and CloudWatch monitoring/autoscaling. Has built data validation/ETL-style workflows with schema/version checks and targeted reprocessing, modernized legacy batch processing into Java services with phased parallel migrations, and delivered measurable SQL performance gains (~50% query runtime reduction).

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HA

Habtom Asfaha

Screened

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

California, USA9y exp
Syneos HealthSan Francisco State University

Software engineer with a CS/Computer Engineering background who has worked on ML/NLP (Hugging Face, clinical NLP, text generation and structured extraction) and has a school robotics project integrating a trained ML model with microprocessor-controlled hardware to drive motor movement and writing. Currently focused on building and deploying applications and ML models to AWS/Azure using Docker, Kubernetes, and CI/CD; targeting ~$150K compensation.

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SK

Mid-Level Software Engineer specializing in FinTech microservices and AI automation

New York City, United States3y exp
Bank of AmericaNJIT

Backend engineer with experience evolving a real-time transaction and rewards processing platform from a tightly coupled architecture into domain-based microservices. Uses REST plus Kafka for synchronous vs. asynchronous workflows, and builds Python/FastAPI APIs with Pydantic contracts, Docker/Kubernetes deployments, and JWT/OAuth-based security; has also supported analytics/dashboard use cases (Power BI).

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PV

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

Texas, USA5y exp
Capital OneAuburn University at Montgomery

Full-stack engineer focused on enterprise, cloud-native microservices—building Spring Boot backends and React/Angular front ends with strong security (OAuth/JWT), AWS infrastructure (RDS/S3), and containerized deployments (Docker/Kubernetes). Has delivered data-heavy order/account/transaction platforms and healthcare solutions including EHR integrations for secure patient data exchange, with emphasis on testing, performance tuning, and reliability (load testing).

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AV

Mid-level Full-Stack Developer specializing in FinTech web applications

Remote, USA4y exp
JefferiesRowan University

Backend engineer who built an e-commerce order processing service in Python/Flask with PostgreSQL, focusing on correctness and reliability (idempotency, Redis locks, async payment processing with circuit breakers). Also integrated an ML recommendation system as a separate FastAPI inference service with caching and async embedding updates, reporting ~25% CTR lift, and has experience with multi-tenant isolation using PostgreSQL row-level security.

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AM

Mid-level Full-Stack Software Engineer specializing in React, Spring Boot, and AWS

Los Angeles, CA5y exp
QualcommCalifornia State University, Northridge

JavaScript/TypeScript engineer with proven open-source impact: delivered a major reliability upgrade to a retry/error-handling library (standardized typed errors, added exponential backoff, expanded Jest tests, and implemented GitHub Actions CI) that was merged and released. Demonstrates strong performance engineering and debugging skills (profiling-driven optimization; diagnosed a race condition causing inconsistent retries) plus a documentation-first approach to developer experience.

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YW

Yiwen Wang

Screened

Junior Full-Stack Software Developer specializing in Spring Boot microservices and React

Plainsboro, NJ1y exp
LG CNSStevens Institute of Technology

Backend/microservices engineer who built a Python (Flask/MySQL) data-processing microservice for an internal analytics platform and improved slow responses via query optimization and caching. Has hands-on Kubernetes experience on AWS EKS with GitLab CI/CD, plus GitOps workflows using Helm and ArgoCD. Also built a real-time Kafka order-event pipeline and supported a cloud-to-on-prem migration with standardized, containerized configuration and gradual traffic cutover.

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SR

Saketh Reddy

Screened

Mid-Level Software Development Engineer specializing in full-stack and LLM/AI systems

CA, USA4y exp
JPMorgan ChaseUniversity of Central Missouri

AI engineer with hands-on production experience building an end-to-end RAG system that reduced document-answering time from hours to minutes, improving accuracy through chunk overlap and hybrid BM25+semantic retrieval. Also built a LangGraph-based agent that researches company financial news via web search (Google Serper), using Pydantic structured outputs and checkpointing for reliability; experienced collaborating with non-technical stakeholders at JPMC and communicating ROI.

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CR

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

Phoenix, AZ4y exp
ServiceNowWestern Illinois University

Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.

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Harshini Jaligama - Senior Full-Stack Java Developer specializing in cloud-native microservices and FinTech in Remote, USA

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

Remote, USA5y exp
DXC TechnologyCal State Long Beach

Full-stack engineer (5+ years with Java/Spring Boot and React) who has built and deployed AWS-based microservices platforms using Kafka for real-time rewards/promotions and large-scale telemetry analytics. Demonstrates hands-on scalability expertise (partitioning, consumer groups, durability/acks, idempotency) and production-minded delivery practices (CI/CD, Docker, testing, Swagger, monitoring).

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Goutami Amara - Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare platforms in Memphis, TN

Goutami Amara

Screened

Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare platforms

Memphis, TN6y exp
JPMorgan ChaseUniversity of Memphis

Software engineer who built internal operations/monitoring dashboards for real-time trading and money-movement systems, emphasizing auditability and rapid iteration. Deep experience with microservices on Azure using Kafka/RabbitMQ, plus strong testing discipline (JUnit/Mockito/Testcontainers, contract/E2E) and observability patterns (correlation IDs, centralized logging, distributed tracing) to reduce incident triage time and improve resilience.

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