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Vetted Amazon DynamoDB Professionals
Pre-screened and vetted.
Mid-level Frontend/Full-Stack Developer specializing in React and Ruby on Rails
Mid-level Software Systems Engineer specializing in cloud infrastructure and AI applications
Mid-Level Full-Stack Software Developer specializing in cloud-native web applications
Mid-level Software Engineer specializing in backend systems, data pipelines, and AI/RAG
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-level Backend/Full-Stack Software Engineer specializing in AWS, Node.js, and AI integrations
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level DevOps/Cloud Engineer specializing in AWS EKS and Terraform
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Entry-level Full-Stack Engineer specializing in AI-powered applications
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).”
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems