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Vetted jQuery Professionals
Pre-screened and vetted.
Mid-level Python Developer specializing in AWS cloud-native backend systems
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Ajay Pandit
Senior Front-End & Mobile Engineer specializing in React, Angular, and FinTech
“Frontend engineer who led an enterprise customer-facing analytics dashboard end-to-end, handling complex visualizations, real-time updates, and high-performance requirements. Demonstrates strong architecture and scale practices across React/TypeScript, Redux Toolkit/RTK Query, GraphQL, and performance techniques like virtualization and code-splitting, plus disciplined QA/rollout with feature flags, Cypress, Sentry/New Relic, and Lighthouse.”
Senior Full-Stack Software Developer specializing in web applications and test automation
Mid-level Full-Stack Engineer specializing in cloud-native microservices and FinTech systems
Senior Software Engineer specializing in backend APIs and cloud-native services
Director-level Development Manager specializing in AWS cloud and DevOps
Mid-Level Full-Stack Software Engineer specializing in Cloud, Microservices & Distributed Systems
Mid-Level Software Engineer specializing in full-stack web development and cloud DevOps
Mid-level Full-Stack Developer specializing in cloud-native FinTech and AI integrations
Mid-level .NET Developer specializing in cloud-native web applications on Azure
Senior CRM Specialist specializing in omnichannel marketing automation
Senior Full-Stack JavaScript Developer specializing in React and Node.js
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Executive IT Leader / Deputy CIO specializing in enterprise architecture, cybersecurity, and cloud transformation
Zhaoyue Yang
Junior Full-Stack Application Developer specializing in internal web portals
“Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.”
Krusha Shah
Mid-level Infrastructure/DevOps Engineer specializing in GCP, Terraform, Kubernetes and CI/CD
“DevOps/GCP-focused engineer with experience helping move complex/LLM-style prototypes toward production by clarifying requirements, hardening architecture, and driving OS-level test remediation to full pass rates. Debugs LLM/agentic workflow issues like distributed systems using GCP observability (Cloud Logging/Monitoring, GKE metrics) and implements alerting policies for proactive communication. Has delivered internal DevOps training from basics through end-to-end GCP infrastructure and deployment, improving engagement with real-world examples and analogies.”