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Vetted Amazon Bedrock Professionals
Pre-screened and vetted.
Mid-level AI Engineer specializing in LLMs, RAG pipelines, and multimodal automation
Mid-level AI Engineer specializing in Generative AI and agentic RAG systems
Senior/Staff Software Engineer specializing in backend TypeScript/Node.js and scalable APIs
Mid-level AI/ML Engineer specializing in LLM, RAG, and semantic search systems
Junior Machine Learning Engineer specializing in LLM fine-tuning and AWS deployment
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Senior Backend/Automation Engineer specializing in cloud-native systems and test automation
Mid-level AI Engineer specializing in LLMs, RAG, and cloud-native MLOps
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level GenAI Engineer specializing in agentic workflows, RAG, and LLM orchestration
Mid-level Data Scientist specializing in Healthcare ML and Generative AI
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Mid-Level Full-Stack & Cloud Engineer specializing in AI agents and RAG systems
Mid-level Data Scientist / Software Engineer specializing in AI automation and cloud microservices
Naveen Kancharla
Mid-level AI & Backend Engineer specializing in RAG systems and scalable APIs
“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”