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Vetted Llama Professionals
Pre-screened and vetted.
Senior Staff Data Scientist specializing in AI/ML and LLM-powered analytics
Junior Machine Learning Engineer specializing in computer vision, LLMs, and geospatial AI
Senior Full-Stack AI/ML Engineer specializing in LLM agents and RAG systems
Mid-Level Software Engineer specializing in Go microservices, cloud-native systems, and AI integration
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Mid-level Full-Stack & AI Engineer specializing in Python, cloud, and LLM applications
Mid-level AI/ML Engineer specializing in LLM fine-tuning, NLP, and MLOps
Senior Generative AI & Machine Learning Engineer specializing in LLMs and MLOps
Mid-Level Full-Stack Software Engineer specializing in AI and data platforms
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and deep learning
Principal Software Engineer specializing in enterprise AI/ML and multi-cloud architecture
Director-level Engineering Leader specializing in consumer web/mobile and AI-driven optimization
Mid-level AI/ML Engineer specializing in GenAI, RAG, and cloud-native ML platforms
Intern Data Scientist specializing in NLP and Large Language Models
“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”
Haider Shah
Principal AI/ML Architect specializing in GenAI, LLMs, RAG, and Agentic AI
“FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.”
David Kidwell
Senior AI/ML Data Scientist specializing in NLP, computer vision, and MLOps
“Applied LLMs and a graph-RAG architecture in Neo4j to automate an accounting firm's cross-checking of transactional books against tax regulations, indexing 1,000+ pages into a knowledge graph with vector search. Combines agentic LLM workflows with classical NER (Hugging Face/NLTK) and validates using expert-labeled held-out data plus precision/recall and measured accountant time savings after deployment.”