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Vetted Kanban Professionals
Pre-screened and vetted.
Mid-level Java Full-Stack Developer specializing in e-commerce microservices
Intern QA Analyst specializing in web and eCommerce regression testing
Mid-Level Software Engineer specializing in SaaS platforms and payments
Senior Unity Developer specializing in clean architecture, performance optimization, and VR/WebGL
Mid-level Backend & Blockchain Developer specializing in Web3 and cloud-native systems
Mid-level Software Engineer specializing in Cloud, DevOps, and Generative AI
Senior Software QA Engineer specializing in banking, payments, and test automation
Senior Software Engineer specializing in Python backend, microservices, and cloud/DevOps
Senior Full-Stack Software Engineer specializing in Python/Django, React, and AWS
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level QA Test Engineer specializing in automation, API validation, and CI/CD
Mid-level Software QA Engineer specializing in web, API, and test automation
Senior Unity/C# Developer specializing in performance, rendering, and VR
Senior Full-Stack Developer specializing in MERN and scalable web applications
Kevin Thomas
Intern Software Engineer specializing in AI, cloud, and backend systems
“Candidate has internship and graduate-project experience building AI agents, including a production log-analysis assistant using a lightweight agentic/RAG-style workflow with local GPT training and validation against historical logs. They also worked on Android/iOS game build and release processes in a Unity-based robot racing game environment, and highlight measurable LLM outcomes including 80% analysis accuracy, 2-5 second latency, and 50% cost reduction.”
srikanth tulluru
Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX
“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”
Vaibhav Dabhi
Mid-level Full-Stack Engineer specializing in AI-powered web platforms
“Solo builder of ZenDSA, a live AI-powered DSA learning product with 37 real users, built end to end using Java/Spring Boot, React, and TypeScript. Particularly interesting for teams building AI products: they designed a production LLM fallback architecture, enforced structured JSON outputs, monitored parse-failure regressions, and fixed an SSRF vulnerability after launch.”