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Vetted Spring Boot Professionals

Pre-screened and vetted.

SA

Mid-Level Software Engineer specializing in full-stack development and cloud platforms

Indianapolis, IN5y exp
The University of ArizonaIndiana University Bloomington
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RB

Junior Software Engineer specializing in backend microservices and cloud-native systems

Modesto, CA2y exp
Center for Human Services (CHS)UC Riverside
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CK

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

Corvallis, Oregon6y exp
Green2GoldOregon State University
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RD

Senior Full-Stack Software Engineer specializing in React and scalable web applications

Portland, OR8y exp
WestRockDePaul University
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AS

Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI

Los Angeles, CA5y exp
AlphadroidIllinois Institute of Technology
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RC

Senior Software Engineer / DevOps specializing in cloud-native distributed systems

Miami, FL11y exp
LennarUniversidad Central "Marta Abreu" de Las Villas
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RG

Director-level Mobile & Full-Stack Software Engineer specializing in Android and cloud-native apps

Jersey City, NJ4y exp
Trisphere AppsArizona State University
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VS

Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS

Atlanta, GA4y exp
Elevance HealthConcordia University, St. Paul
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NT

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

United States7y exp
Hyundai AutoEverUniversity of North Texas
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CN

Mid-level Full-Stack Software Engineer specializing in React/Node and cloud-native web apps

Los Angeles, CA3y exp
ReplyQuickCal State Fullerton

Full-stack engineer who built and iterated a CRM dashboard at ReplyQuick by sitting with end users, prioritizing blockers, and shipping frequent updates—improving usability and performance enough to replace a spreadsheet workflow within ~2 months. Demonstrates strong security fundamentals (OAuth2/JWT + RBAC) and practical microservices experience (decoupling a CRM API from a PDF-processing service via async processing and status tracking).

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CE

Mid-Level Full-Stack Software Engineer specializing in Cloud, DevOps, and Platform Engineering

3y exp
GEICOUniversity of Houston-Victoria

Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).

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YG

Yuvraj Goyal

Screened

Junior Full-Stack Software Developer specializing in GenAI RAG systems

Atlanta, GA2y exp
KGS Technology GroupGeorgia State University

Product/UX designer who built a cloud-based data management and visualization system for healthcare and manufacturing, translating script-driven and highly technical workflows into guided, step-based experiences. Strong in progressive disclosure, role-based defaults, and trust-building UI patterns, with hands-on prototyping in Figma and close design-engineering collaboration (HTML/CSS, component systems, working TypeScript familiarity) to ship scalable, accessible designs.

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SP

SAI PRASHANTH

Screened

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

USA5y exp
AssurantGannon University

Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.

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CS

Mid-level Software Engineer specializing in full-stack web, Go microservices, and AI integrations

Remote, USA5y exp
Infinite Computer SolutionsSacred Heart University

Backend/LLM engineer who ships production internal tooling end-to-end: automated data-request processing with monitoring-driven improvements (better error diagnostics and lower latency via query/index tuning). Also built a RAG-based internal Q&A system over company docs and operational logs with guardrails (similarity thresholds, fallbacks, response limits) and an eval loop using real user queries and human review to drive prompt/retrieval changes.

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ME

Senior Software Engineer specializing in enterprise platforms and data engineering

Burbank, California16y exp
AloricaUniversity of La Verne

Backend/data platform engineer who owned an enterprise Django REST + PostgreSQL reporting backend and built Python ETL pipelines to normalize 3M+ legacy customer records, improving data reliability by 85%. Strong Kubernetes/GitOps practitioner (Helm, ArgoCD, Jenkins/GitHub Actions) with real-world production debugging experience, plus Kafka streaming at 5M events/day and a zero-downtime monolith-to-event-driven microservices migration on AWS that cut infra costs by 42%.

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GK

Gowtham Kota

Screened

Mid-Level Full-Stack Software Engineer specializing in React, Java/Spring Boot, and AWS

Illinois, USA4y exp
ARV SystemsKakatiya Institute of Technology and Science

Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.

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AK

Mid-Level Full-Stack Developer specializing in web, mobile, and AI-powered applications

3y exp
LERIUniversity of Maryland, Baltimore County

Full-stack engineer who built a live-streaming edtech platform at KratosIQ, owning the entire frontend and the backend streaming layer. Notably migrated the system from a P2P mesh to an SFU architecture to handle scaling under heavy load, and delivered measurable React performance gains (450ms to 40ms render time) validated via Lighthouse and web vitals.

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