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Vetted R Professionals
Pre-screened and vetted.
Principal Data Scientist specializing in Generative AI and MLOps
Mid-level investor-operator specializing in climate tech, agri-tech, and strategy consulting
Senior Solutions Architect specializing in cloud infrastructure, AI/LLM security, and data platforms
Senior Software Engineer specializing in Python, AI/ML, and AWS cloud-native systems
Senior Revenue Operations & GTM Strategy Leader specializing in analytics and commercial operations
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Intern Business Analyst specializing in product analytics and business intelligence
Mid-level Financial Analyst specializing in risk, regulatory reporting, and forecasting analytics
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Principal Systems & Software Engineer specializing in IVD/medical device compliance and genomics
Mid AI/ML Engineer specializing in LLM systems and inference optimization
Mid-level Software Engineer specializing in cloud-native AI/ML and full-stack systems
Senior AI Infrastructure & Backend Engineer specializing in LLM systems
Senior AI Infrastructure Engineer specializing in LLM systems and real-time ML platforms
Peeyush Dyavarashetty
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”