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Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Engineer specializing in AI platforms and multi-tenant SaaS
Mid-level Machine Learning Engineer specializing in Generative AI and healthcare NLP
Alok Chaudhary
Mid-level Cloud/DevOps Engineer specializing in AWS infrastructure and security compliance
“Cloud infrastructure and security-focused candidate with hands-on AWS experience (Terraform for EC2/VPC, AMI copies across regions) and CI/CD exposure (Jenkins/Git/Docker, AWS CodePipeline). Has practical production troubleshooting experience around performance/monitoring and produces RCAs, but does not have direct IBM Power/AIX/PowerHA migration experience.”
Mid-level AI Software Engineer specializing in LLM agents and RAG systems
Entry-Level Software Engineer specializing in backend services and applied ML
Junior Backend & Cloud Engineer specializing in AWS and scalable systems
Senior Unity & Backend Systems Engineer specializing in multiplayer and cloud backends
Manas Kumar Sherla
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”
Entry-Level Mechatronics Engineer specializing in robotics, embedded systems, and ROS 2
Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment
Jazib Shakoor
Junior Full-Stack Developer specializing in FinTech automation and real-time dashboards
“Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.”
PavanKumar Amarapalli
Entry-level LMS operations and testing analyst specializing in EdTech
“Candidate stands out for treating AI as a structured productivity and coordination layer rather than just a coding assistant. They describe using role-based multi-agent workflows across research, planning, technical execution, QA, security, and documentation, with a strong emphasis on human review and production validation.”