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Vetted Visual Studio Code Professionals
Pre-screened and vetted.
Entry-Level UX Designer and Computer Science Graduate specializing in data-driven product design
Mid-level Full-Stack Java Developer specializing in microservices and React
Junior Software Development Engineer specializing in cloud and full-stack development
Junior .NET Developer specializing in Azure and web application development
Senior Full-Stack Product Engineer specializing in consumer web and e-commerce
Mid-Level Full-Stack Software Engineer specializing in ERP/CRM systems
Mid-level QA Engineer specializing in manual testing and cross-platform QA
Mid-level Full-Stack Developer specializing in AI-integrated web applications
Mid-level Unity Developer specializing in multiplayer game development
Senior Unity/AR/VR Engineer specializing in immersive mobile experiences
Mid-Level Front-End Software Engineer specializing in React, Next.js, and TypeScript
Mid-level Full-Stack & AI Engineer specializing in web, ML, and Web3 platforms
Junior Computer Engineering student specializing in embedded systems and software development
Mid-level Full-Stack Developer specializing in scalable web and SaaS applications
Galvin Mendonca
Entry-level Full-Stack Engineer specializing in AI, web, and mobile development
“Front-end/product engineer who fully owned and built the Rouge Dashboard, an internal enterprise SaaS platform consolidating 11 AI-powered tools for five business units at Rouge International. Particularly strong in browser-based UI architecture for AI and CRM-heavy workflows, with proven adoption from 25 of 27 non-technical stakeholders and zero role-based access breaches.”
Junior Computer Science graduate specializing in robotics mentoring and game development tools
Junior Full-Stack Developer specializing in React, Node.js, and SQL
Junior Full-Stack Developer specializing in FinTech applications
Naresh N
Mid-level Full-Stack .NET Developer specializing in Angular web applications
“Early-career/learning-stage candidate focused on LLM systems; has not yet built or deployed production AI applications but is actively learning orchestration (Microsoft Semantic Kernel) and core patterns like RAG, embeddings, and model selection based on business requirements.”