.png){kind=logo}
Vetted Scrum Professionals
Pre-screened and vetted.
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Junior QA Engineer specializing in manual testing, regression, and CI/CD deployments
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Mid-level SDET specializing in test automation for web, mobile, and desktop apps
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Digital Marketing & Analytics Associate specializing in SEO and BI dashboards
Senior Game Programmer specializing in Unreal Engine multiplayer
Junior Java Full-Stack Developer specializing in healthcare web applications
Senior SDET specializing in test automation, CI/CD, and performance testing
Alishba Ali
Senior Full-Stack Software Developer specializing in React/Node and cloud-native apps
“Frontend engineer who launched Emoot (app.emoot.io) end-to-end and recently shipped the "My Savings Goal" feature from UI through production. Emphasizes scalable React + TypeScript architecture (Storybook-driven component library, strict typing, performance profiling/memoization) and pragmatic delivery in tight timelines by reusing existing components/logic and iterating screen-by-screen.”
Umair Shamoon
Mid-level Full-Stack Developer specializing in MERN/MEAN and cloud-native web apps
“Frontend engineer with end-to-end ownership of React/Next.js products, focused on scalable component-based architecture and quality via CI/CD, automated testing, and disciplined PR reviews. Built React + TypeScript dashboards with role-based views using Zustand, and improved existing codebases by decoupling components and boosting performance through code splitting, lazy loading, and standardized shared components.”
Jeevan Kumar
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Mid-Level Frontend/Full-Stack Developer specializing in React and government & healthcare web apps
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps