3. Data, Science & AI

Provides rapid clinical decision support in hematology and oncology through multi-level analysis, adversarial validation, and evidence-based research for diagnostic dilemmas and treatment planning.

Creates interactive Venn diagram visualizations with labels and tooltips in standalone HTML files for educational content.

Handles data transformations, scales, color schemes, and CSV/TSV parsing for data processing and visualization pipelines.

Generates a daily summary of GitHub activity including commits, issues, and pull requests for the past 24 hours.

Bidirectional markdown ↔ SQLite conversion with column limits and section extraction, using Python and sqlite3.

Expert assistance for building semantic models, defining metrics, debugging validation errors, and integrating with BI tools using dbt Semantic Layer.

Analyzes large text corpora (100GB+) via stratified sampling and pattern recognition to produce RAG-ready metadata, chunking strategies, and integration recommendations.

Analyzes task descriptions to predict category, identify key files, assess risk, and detect high-consequence operations, guiding execution strategy proactively.

Advanced multi-agent AI system for high-accuracy reasoning on critical medical, theological, and technical questions requiring 95%+ confidence.

Generates interactive timeline visualizations using vis-timeline library, producing a complete MicroSim package with HTML, CSS, JSON, and documentation for chronological data.

Expertise in designing and creating subagent configurations for Claude Code, covering structure, tool restrictions, and model selection.

Test specifications for SEO & LLM Optimizer WordPress plugin, verifying AI content generation and RAG export features.

Manages Shannon CLI cache performance and cost optimization through statistics tracking, stale entry clearance, budget configuration, and model selection insights.

Generates SVG paths, chart elements, and shape generators for data visualizations using D3.js.

Guides creation and optimization of prompts for LiveKit voice agents, covering TTS formatting, tool integration, and industry-specific agent design.

Creates hierarchical and network visualizations including tree diagrams, treemaps, and force-directed layouts for data representation.

Creates interactive data visualizations with D3.js, featuring animated transitions, drag/zoom behaviors, and DOM manipulation for dynamic data binding.

Enables geographic data visualization with D3.js, including map projections, GeoJSON processing, and choropleth maps.

Guides development of production voice AI agents using LiveKit, enabling multi-agent workflows, intelligent handoffs, and complex conversational systems.

Builds Aptos blockchain data indexers with GraphQL querying, custom processors, and event parsing for efficient on-chain data analytics and retrieval.

Provides probabilistic forecasts for story/task completion using Monte Carlo simulation on historical throughput data with configurable confidence levels.

Forecasts project completion dates using Monte Carlo simulation on historical throughput data and remaining task counts with configurable confidence levels.

Provides persistent memory storage for context, decisions, and project knowledge across sessions using Memory MCP, enabling continuous context retention in applications.

Manages PostgreSQL databases with capabilities for querying, schema inspection, migration execution, and debugging to maintain data integrity and operational efficiency.