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Vetted AWS Professionals
Pre-screened and vetted.
Junior AI/ML Engineer specializing in LLM agents and full-stack AI systems
Senior Full-Stack Engineer specializing in AI-powered enterprise applications
Senior Full-Stack Engineer specializing in cloud-native web and mobile platforms
Senior Software Engineer specializing in scalable backend and distributed systems
Senior Full-Stack Engineer specializing in data-driven SaaS and web platforms
Staff Software Engineer specializing in backend platforms and FinTech/SaaS systems
Principal Software Engineer specializing in platform engineering and distributed systems
Mid-level Software Engineer specializing in cloud-native AI/ML and full-stack systems
Mid-level product professional specializing in SaaS, healthcare, and supply chain analytics
Senior AI Infrastructure & Backend Engineer specializing in LLM systems
Senior Cloud Security Engineer specializing in AWS security, IAM governance, and DevSecOps
Executive engineering leader specializing in SaaS platform transformation and AI
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
Senior Salesforce SME specializing in Service/Sales Cloud, Experience Cloud, and DevOps
Executive Engineering Leader specializing in cloud platforms, infrastructure, and SRE
Principal Software Engineer specializing in distributed systems and cloud microservices
Peeyush Dyavarashetty
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”