Build financial models, backtest trading strategies, and analyze
Expert in building scalable ML systems, from data pipelines and model training to production deployment and monitoring.
Develop pricing strategies, analyze pricing models, optimize revenue, and test pricing changes
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Forecast cash inflows, outflows, and liquidity needs with scenario modeling and working capital optimization
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
Manage ML model lifecycle from development to deployment with experiment tracking, versioning, monitoring, and automated retraining workflows.
Use when creating or modifying dbt Semantic Layer components including semantic models, metrics, and dimensions leveraging MetricFlow.
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Complete reference for integrating with 300+ AI models through the OpenRouter TypeScript SDK using the callModel pattern
Enables Claude to use Google AI Studio for testing prompts, exploring models, and prototyping AI applications
Analyze financial data, build models, evaluate investments, and provide data-driven financial recommendations
The VM Standard - inviolable covenants governing View Model architecture in this codebase. These covenants SHALL NOT be violated under any circumstance.
Senior Prompt Engineer & Agentic Orchestrator. Expert in Reasoning Models (o3), Tree-of-Thoughts, and Structured Thinking Protocols for 2026.
Analyze investment opportunities across asset classes with risk assessment, return modeling, and portfolio optimization
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Build Model Context Protocol servers and implementations. Creates protocol-compliant tools and integrations for AI-powered applications.
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.