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Vetted Kanban Professionals
Pre-screened and vetted.
Senior DevSecOps & Cloud Engineer specializing in Kubernetes, GitOps, and federal compliance
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level Java Full-Stack Developer specializing in microservices and cloud-native systems
Director-level Unity Technical Leader specializing in scalable multiplayer and VR systems
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
Senior Project Management Professional specializing in healthcare and enterprise solutions
Senior Project Manager specializing in IT, compliance, and federal operations
Senior Project Manager and Scrum Master specializing in IT programs and Agile delivery
Mid-level DevOps Engineer specializing in cloud infrastructure and CI/CD automation
Senior Full-Stack Engineer specializing in compliance, integrations, and data platforms
Senior Full-Stack Engineer specializing in scalable backend and marketplace systems
Senior Java Full-Stack Developer specializing in insurance and healthcare platforms
Director-level Technology & Management Consultant specializing in software delivery, cloud, and healthcare IT
Senior Software Test Engineer specializing in automation, API, performance, and accessibility testing
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
RAJ KUMAR
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices
“Backend engineer at Discover who built and scaled Python/Flask services for a card dispute resolution platform, tackling long-running external network validations with Celery+Redis and delivering measurable gains (response time ~3s to <300ms; throughput +40%). Experienced in high-scale PostgreSQL/SQLAlchemy optimization (partitioning, read replicas, N+1 avoidance), event-driven systems with Kafka, and integrating ML fraud detection using AWS SageMaker/Lambda/ECS with clear separation of real-time vs batch processing.”