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Vetted Web Application Development Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in MERN and serverless web apps
Senior Software Engineer specializing in data pipelines and financial data platforms
Mid-Level Software Engineer / Game Developer specializing in React and game engines
Director-level engineering leader specializing in game development and scalable platforms
Mid-level Full-Stack Software Engineer specializing in scalable web applications
Mid-Level Frontend Software Developer specializing in React and Angular
Mid-Level Software Engineer specializing in algorithmic generation and AI systems
Senior DevOps Engineer specializing in cloud-native Kubernetes and DevSecOps
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Executive technology and marketing leader specializing in digital transformation and e-commerce
Staff Software Architect specializing in AI-first web and mobile platforms
Mid-level Software Engineer specializing in AI-driven full-stack systems
Senior Frontend Engineer specializing in web, mobile, and UX-driven product development
Entry-Level Robotics Engineer specializing in automation, control systems, and autonomy
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Bhuvaneswari Kudaravalli
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”