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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Intern Product Manager & Software Engineer specializing in data analytics and AI
Junior Software Engineer specializing in healthcare data and LLM-powered workflows
Intern Perception/Robotics Engineer specializing in computer vision and embodied AI
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Senior Solution Architect and Engineering Manager specializing in government, FinTech, and cloud platforms
Junior Algorithm Engineer specializing in computer vision and 3D perception
Intern Machine Vision & Robotics Engineer specializing in computer vision and reinforcement learning
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Mid-level Machine Learning Engineer specializing in fraud prevention and LLM systems
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Mid-level Robotics & AI Researcher specializing in embodied AI and human-robot interaction
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Executive Technology Leader specializing in AI/GenAI platforms and digital transformation
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Ruturaj Ghatage
Junior Software Engineer specializing in full-stack, cloud infrastructure, and applied AI
“Master’s student at UC San Diego who built an LLM-powered healthcare chatbot for patient history-taking and sepsis-related output, using a Node.js backend integrated with FastAPI for RAG/LLM interactions and a Flutter client. Also has healthcare AI startup experience deploying on AWS (ECS/Terraform/Docker) and implementing Kubernetes autoscaling to improve efficiency and reduce costs, with strong iterative evaluation in collaboration with a physician.”