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Vetted Retrieval-Augmented Generation (RAG) Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud-native web apps and LLM integrations
Senior Machine Learning Engineer specializing in GenAI and LLM-powered systems
Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI
Mid-Level Software Engineer specializing in AWS cloud backends and ML systems
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Executive Technology Leader specializing in regulated multi-tenant SaaS and LLM-enabled products
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Mid-level Data Scientist specializing in ML, MLOps, and applied risk modeling
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-Level Full-Stack Software Engineer specializing in cloud, web apps, and GenAI
Senior Software Engineer specializing in full-stack web apps and LLM/RAG systems
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Engineering Leader specializing in FinTech, payments, and enterprise platforms
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”