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Vetted Containerization Professionals
Pre-screened and vetted.
Mid-level GenAI Engineer specializing in AI agents and FinTech platforms
Mid-Level Backend Engineer specializing in Java microservices and cloud-native systems
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Junior AI/ML Engineer specializing in LLMs, automation, and backend data pipelines
Mid-level Full-Stack Engineer specializing in backend systems and AI integration
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Mid-level DevOps/Cloud Engineer specializing in AWS EKS and Terraform
Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems
Entry-Level DevOps Engineer specializing in CI/CD automation and cloud infrastructure
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Mid-level DevOps & Customer Success Engineer specializing in cloud, networking, and GenAI
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
Junior Java Full-Stack Developer specializing in healthcare web applications
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”