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Vetted REST API Professionals
Pre-screened and vetted.
Minh Huynh
Junior AI/ML Engineer specializing in LLM systems and personalization
“Backend engineer who built and scaled AmazonProAI, a multi-tenant SaaS platform for Amazon sellers, using a modular Django/DRF monolith with strict seller-level isolation and security controls. Led a controlled SQLite-to-PostgreSQL migration and hardened bulk Excel ingestion with idempotency and data integrity constraints to prevent duplicate metrics and noisy alerts while keeping the system ready for future service extraction.”
Sudarshan Naicker
Entry-Level Software Engineering Student specializing in Full-Stack Web Development and ML
“Frontend-focused builder with multiple end-to-end academic product builds (event manager, niche social media app, airline booking site, AI-based obituary generator). Experienced in React/Next.js with an emphasis on scalable component architecture, pragmatic state management/performance, and strong collaboration with design via Figma; has shipped complex user flows like real-time chat, booking/seat selection, auth, and media upload under tight timelines.”
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 Developer specializing in Python/FastAPI and React
Junior Full-Stack Developer specializing in Node.js, React, and scalable web apps
Junior Software Engineer specializing in .NET backend and cloud-deployed real-time systems
Junior Software QA Engineer specializing in mobile and web application testing
Junior Full-Stack Software Engineer specializing in SaaS and FinTech systems
Junior QA Engineer / Systems Analyst specializing in test automation and ERP implementations
Mid-level Manual QA Tester specializing in web, backend, and API testing
Junior Software Engineer specializing in performance, scalability & optimization
Mid-level QA Analyst specializing in web, mobile, and test automation
Senior Full-Stack Developer specializing in Next.js, Web3, and scalable web apps
Oluwasayomi Adebanjo
Junior Web Developer specializing in React and full-stack JavaScript
“Frontend engineer focused on scalable React + TypeScript architecture and design-system style reusability, with demonstrated refactoring impact in legacy codebases. Delivered a high-visibility, filterable “Project Showcase” feature in 3 weeks (CMS-integrated, responsive, CI/unit-tested) and has implemented real-time UI updates via WebSockets for chat profile presence.”
Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment
Zackary Liel
Junior Software Engineer specializing in full-stack and systems development
“Backend-focused developer who built LinguaTile (language learning app) on a FastAPI + MongoDB monolith deployed to Google Cloud Run, emphasizing async performance and security (RBAC/JWT, rate limiting, request tracing). Also created Mark-RS, a static HTML generator with a 100% CommonMark-compliant Markdown parser, demonstrating strong edge-case rigor and systems robustness.”
Mohamed Farag
Junior Full-Stack Web Developer specializing in React, TypeScript, and Node.js
“Frontend/full-stack engineer who built a fast-food ordering web app and a minimal one-page real-time admin dashboard (Supabase + Postgres) with role-based access. Emphasizes scalable architecture, strict TypeScript validation, and quality practices (error boundaries, backend validation, unit testing), and has experience refactoring messy codebases into reusable components with consistent Tailwind theming.”
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.”