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Vetted GraphQL Professionals
Pre-screened and vetted.
Maulik Maganbhai Ghatala
Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs
“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”
Fabricio Anchundia
Junior Backend/Full-Stack Developer specializing in .NET and microservices
“Frontend engineer focused on scalable React + TypeScript applications, with repeated examples of modular architecture, reusable component systems (forms/tables), and keeping business logic out of UI components. Has experience improving maintainability/performance in existing codebases through gradual refactoring, and shipping key features under tight deadlines using MVP scoping and post-launch iteration based on user feedback.”
Mid-level Frontend Developer specializing in React, Next.js, and TypeScript
Mid-Level Full-Stack Software Engineer specializing in automation and self-hosted infrastructure
Senior Full-Stack Developer specializing in Next.js, Web3, and scalable web apps
Junior Full-Stack Web Developer specializing in React/Next.js and analytics
Entry-level Software Engineer specializing in backend systems and real-time streaming
Jazib Shakoor
Junior Full-Stack Developer specializing in FinTech automation and real-time dashboards
“Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.”
Rutvi Rathod
Junior Full-Stack Software Engineer specializing in AI and web applications
“LLM/AI backend engineer with hands-on experience taking customer LLM prototypes into production using FastAPI, containerization, CI/CD, and OpenTelemetry-based observability. Demonstrated measurable impact by cutting LLM costs ~40% and reducing workflow errors ~50% through schema-enforced outputs, better tool definitions, retries, and prompt/model optimization; also supports pre-sales via technical discovery and rapid integration demos.”