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Vetted AWS Professionals
Pre-screened and vetted.
Mid-level Frontend Engineer specializing in React/Next.js and blockchain products
Junior Full-Stack Developer specializing in AI integrations and LLM research
Mid-Level Java Software Developer specializing in Spring and cloud-based web applications
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-Level Full-Stack Software Engineer specializing in AI automation and RAG agents
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Mid-level DevOps & Customer Success Engineer specializing in cloud, networking, and GenAI
Senior Full-Stack Developer specializing in AI-driven SaaS and real-time analytics
Junior Java Full-Stack Developer specializing in healthcare web applications
Mid-level DevSecOps Engineer specializing in AWS cloud security
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
āBuilt 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%ā90% / +20%; latency ~2.0sā1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).ā