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Vetted Spring Boot Professionals
Pre-screened and vetted.
Mid-Level Backend Software Engineer specializing in Java/Spring Boot microservices on AWS
Mid-Level Software Engineer specializing in AI platforms and backend systems
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Senior Technical Product Manager specializing in cloud platforms and full-stack engineering
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Intern software engineer specializing in full-stack SaaS and platform engineering
Senior Full-Stack Engineer specializing in Java microservices and FinTech
Senior Software Engineer specializing in full-stack web development
Longyang Xu
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
“Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.”
Daniel Jeong
Junior Full-Stack Engineer specializing in real-time platforms and AI tools
“Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.”
Jugal Rayala
Mid-level Full-Stack Developer specializing in AI-powered cloud applications
“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”
Vikas Kathuria
Senior Software Engineer specializing in Cloud, Zero Trust, and Enterprise Platforms
“Zero Trust security product lead focused on UI/API delivery, stability, and customer adoption at enterprise scale, including deployments serving 1200 customers. Stands out for hands-on production debugging across the full stack, customer-facing incident ownership, and a pragmatic approach to turning failures into automated regression coverage.”
Praneeth Regonda
Mid-level Full-Stack Engineer specializing in FinTech and AI platforms
“Full-stack engineer with 3 years of AI/ML experience who has shipped production LLM workflows, including a Bloomberg triage dashboard that cut manual processing by 35%. Combines React/TypeScript product sense with AWS/Spring/Lambda backend architecture and unusually strong practical judgment around evals, trust, retrieval, latency, and UX for real-world AI systems.”
Meet Merchant
Mid-level Software Engineer specializing in LLM agents and full-stack systems
“At Esri, the candidate is building a production LLM-powered WebGIS AI framework that embeds an AI assistant into web maps and routes natural-language requests into ArcGIS JavaScript SDK functions via a LangGraph-orchestrated, multi-agent system. They emphasize production reliability and scale (strict tool calling/JSON, live schema validation, query guardrails) and rigorous evaluation/observability using LangSmith, offline prompt datasets, and latency/tool-call accuracy tracking.”