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Vetted Containerization Professionals
Pre-screened and vetted.
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 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
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
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.”
Mohammad Khaja Faizan
Junior Backend Software Engineer specializing in API-driven systems
“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”
Sainath Reddy
Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React
“Full-stack engineer who built an end-to-end healthcare logistics application on a Microsoft services stack, delivering Spring Boot microservices and a responsive React frontend. Strong focus on production concerns—API performance tuning (indexing/caching/pagination) and microservice reliability (timeouts/retries/circuit breakers)—with Dockerized deployments and standardized Jenkins CI/CD.”