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Vetted Containerization Professionals
Pre-screened and vetted.
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
Mid-level Applied AI Engineer specializing in LLM systems for EdTech and FinTech
Senior Full-Stack Developer specializing in React, Django, and cloud-native applications
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.”
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud
Entry Software Engineer specializing in Generative AI and full-stack development
Megha John Babu
Junior Full-Stack Software Engineer specializing in scalable backend systems
“Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.”
Bhuvan Bethapudi
Entry-level Software Engineer specializing in backend and full-stack systems
“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”