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Vetted Spring Boot Professionals

Pre-screened and vetted.

VA

Mid-Level Full-Stack Java Developer specializing in Spring Boot and Angular/React

Tallinn, Estonia
YouTubeSoftware Development Academy
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PG

Mid-level Full-Stack Software Engineer specializing in AI-driven web applications

Nashville, TN6y exp
AmazonLindsey Wilson College
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HS

Mid-level Full-Stack Developer specializing in AI and FinTech platforms

San Francisco, CA5y exp
MetaNorth Carolina State University
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KG

Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications

11y exp
StealthStanford University
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JP

Junior Software Engineer specializing in cloud platforms, microservices, and AI/ML

Menlo Park, CA3y exp
Cognitiv TrustCornell University
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VN

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

NYC, NY3y exp
UberUniversity at Albany
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SV

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

5y exp
Fidelity InvestmentsUniversity of Texas at Arlington
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WW

Junior Software Engineer specializing in backend systems and cloud messaging

Mountain View, CA1y exp
NewsBreakRice University
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YL

Intern Full-Stack Software Engineer specializing in scalable web platforms

Pittsburgh, PA1y exp
Innovation AICarnegie Mellon University
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JW

Staff Software Engineer specializing in FinTech eCommerce platforms

San Diego, California8y exp
IntuitUC San Diego
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SB

Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms

Dallas, TX6y exp
Liberty MutualSaint Peter's University
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SS

Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms

Seattle, WA3y exp
AmazonUniversity of Central Florida
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MT

Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot

CA, USA4y exp
McKinsey & CompanyUniversity of Alabama at Birmingham
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AA

Mid-Level Software Engineer specializing in full-stack web and FinTech systems

San Diego, CA3y exp
WhovaUC San Diego
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SN

Mid-level Software Development Engineer specializing in backend systems and ML platforms

New York, USA2y exp
FlipkartNYU
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SP

Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular

Dallas, TX6y exp
AmazonHumphreys University
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WW

Entry-Level Software Engineer specializing in backend systems and cloud messaging

Mountain View, CA1y exp
NewsBreakRice University
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PD

Pavan Devulapalle

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development

Seattle, WA3y exp
AmazonUniversity of Texas at Dallas

Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).

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CG

Charvi Gupta

Screened

Mid-level Software Engineer specializing in robotics autonomy and safety-critical systems

North Kingstown, RI6y exp
Regent CraftCarnegie Mellon University

Robotics software engineer working on an electric seaglider autonomy/perception stack on NVIDIA Orin, tackling multi-modal operating constraints (5–10 knots float mode up to ~100 knots flight). Previously built a ROS-based multi-robot search-and-rescue system, including navigation integrated with SLAM/task allocation/perception, and improved real-world performance by switching to a 2D planner with a velocity-obstacles controller to handle slip and timing uncertainty.

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LT

Mid-Level Software Engineer specializing in full-stack and backend systems

Albuquerque, NM5y exp
Liberty MutualUniversity of New Mexico

Backend-leaning full-stack engineer with experience at Liberty Mutual and Airbnb, building high-scale insurance claims systems (1M+ monthly transactions) and consumer booking/pricing services (120K–180K daily requests). Strong in transactional data integrity, PostgreSQL performance tuning, and production operations (Docker/Jenkins/AWS), with measurable UX/performance wins including ~2.3s page loads and significant runtime failure reduction.

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