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Vetted Llama Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, RAG, and AI agents
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
Mid-level Software Engineer specializing in backend microservices, cloud infrastructure, and LLM agents
Mid-Level Software Engineer specializing in Full-Stack and Generative AI
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and computer vision
Junior AI Engineer specializing in LLM systems, RAG pipelines, and inference optimization
Senior AI/ML Engineer specializing in Generative AI, LLMs, and Computer Vision
Mid-Level Full-Stack Software Engineer specializing in scalable web apps and FinTech systems
Principal AI Architect & Data Engineer specializing in GenAI, agentic systems, and MLOps
Junior Generative AI Engineer specializing in LLM fine-tuning and RAG pipelines
Junior Full-Stack Engineer specializing in Python backends and AI search systems
Junior Software Engineer specializing in AI-driven full-stack and distributed systems
Junior Software Engineer specializing in distributed systems, cloud, and LLM-powered search
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”
Gautam Agrawal
Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP
“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”
Sree Manasa Vuppu
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG
“Internship at Discovery Education building a production LLM/RAG chatbot that let marketing and sales teams query and interpret Looker/BI dashboards in natural language, with responses grounded in compliance and state education standards. Emphasizes rigorous evaluation (faithfulness/precision/recall/latency) plus user-feedback analytics, and used LangChain for orchestration, chunking/context-window control, and integration with enterprise sources like SharePoint.”