3. Data, Science & AI

Handles ONNX model import and conversion from PyTorch to Burn, including safetensors support and operator resolution.

Saves Claude Pro tokens by delegating reasoning, research, code analysis, and generation tasks to Gemini.

Analyzes RFP JSON data to score suppliers, calculate weighted rankings, and identify risks using structured scoring methodology.

Manages the spawning and coordination of multiple Claude AI agents to perform parallel tasks efficiently.

Routes work items to designated database tables (feedback, features, build_tasks) for proper data organization and management.

Implements PostgreSQL database patterns and enforces Data Gateway compliance for secure data access and operations.

Streams structured content to persistent SQLite storage with automatic session recovery and multi-format export capabilities.

Deeply analyzes AI research papers and generates professional, publication-ready reading notes for academic and technical audiences.

Guides implementation of analytics events and privacy compliance for user action tracking in SuperTool.

Guides chart type selection, D3.js patterns, Recharts implementation, and data storytelling for analytics and finance dashboards.

Provides institutional-grade simulation of systemic risk, hidden correlations, and black-swan stress testing for financial risk management.

Enables hierarchical querying of Gene Ontology annotation databases in DuckDB format for biological data analysis.

Manages BigQuery table structures including partitioning, clustering, schemas, and DDL configuration for optimized data storage and query performance.

Automates data loading into BigQuery from CSV, JSON, Avro, Parquet, and Cloud Storage with schema detection and error handling.

Exports BigQuery table data to Cloud Storage in CSV, JSON, Avro, or Parquet formats using standard commands and options.

Optimizes BigQuery SQL queries by analyzing execution plans, avoiding common pitfalls, and leveraging BigQuery-specific features for improved performance.

Provides exact CSV format specifications for ad platform integrations (Google Ads, Meta) including Enhanced Conversions and Customer Match schemas.

Adds new AI models to the fal.ai platform, extending model capabilities and integration options for developers.

Provides AI image generation, editing, and video generation capabilities through the fal.ai API.

Automates linking HEC-HMS watershed models to HEC-RAS river models by preparing DSS results for boundary conditions and ensuring spatial-temporal alignment.

Extracts and analyzes HEC-HMS simulation results from DSS files, handling peak flows, hydrographs, and time series data for hydrological analysis.

Automates cloning of HEC-HMS components for non-destructive scenario analysis, QAQC, and side-by-side comparison in hydrologic modeling.

Extracts and modifies hydrologic parameters from HEC-HMS basin model files, including subbasins, junctions, and routing coefficients for analysis and updates.

Optimizes AI models for edge deployment using quantization, lazy loading, and memory management to reduce resource usage on mobile and edge devices.