3. Data, Science & AI

Creates searchable document knowledge bases using PDF extraction, OCR, and vector embeddings for semantic search.

Designs multi-agent system architectures including supervisor, peer-to-peer, and hierarchical patterns for agent coordination and context isolation.

Generates interactive data quality reports with scoring, missing data analysis, and type validation using Pandas and Plotly for comprehensive data assessment.

Converts PDFs and images to markdown using Claude Vision OCR for text extraction.

Creates interactive HTML reports with Plotly visualizations from data analysis outputs, featuring dashboards and professional styling for data-driven insights.

Designs memory architectures for AI agents to enable cross-session persistence, entity consistency, and temporal knowledge tracking in learning systems.

Performs computational analysis of ship dynamics including 6DOF motion equations, seakeeping behavior, and natural frequency calculations for marine engineering applications.

Guides users on implementing Synapse RuntimeContext API for logging, progress tracking, and context management in machine learning pipelines.

Specializes in creating and debugging interactive graph visualizations using React Flow, D3, and layout algorithms for network diagrams and flowcharts.

Persistent knowledge repository allowing Claude to retain, build upon, and grow contextual knowledge across all interactions with Arcus Innovation Studios.

Assists in designing database schemas, modeling data relationships, and structuring data architecture for both SQL and NoSQL systems.

Optimizes generative AI search engines (e.g., ChatGPT, Claude, Perplexity) for enhanced query relevance and response quality.

Manages system memory, analyzes conversation patterns, and resolves meta-level queries about past interactions and system state.

Provides expert guidance on database schema design, indexing strategies, ORM selection, and serverless database implementation.

Automates specialist agent selection and task routing by analyzing user requests without explicit mentions.

Ensures AI protocol layer integrity and compliance via file validation, naming convention checks, and token analysis.

Expert advisor for Anthropic's structured outputs, analyzing trade-offs between JSON data extraction and agentic tool workflows for schema-compliant AI applications.

Architects and extends AI content processing pipelines including stage configuration, schema changes, and resumable batch workflows for content generation.

Provides API-driven Bible transliteration workflows for Strong's dictionary updates, KJV verse context resolution, and chapter rendering.

Analyzes past Claude Code conversations using RAG to detect development patterns and generate insight reports with optional dashboard visualization.

Executes LAMMPS molecular dynamics simulations for energy minimization, equilibration, production runs, and property analysis (diffusion, RDF, MSD) on CPU or GPU.

Ensures schema compliance in Anthropic agent tool implementation for multi-step workflows, including error handling and testing.

Automates creation of specialized Claude sub-agents with domain-specific, proactive, and security-sensitive configurations per Anthropic patterns.

Analyzes LAMMPS and QE simulation data, computes properties (RDF, MSD, diffusion coefficients), and generates visualizations.