3. Data, Science & AI

Enables offline text-to-speech conversion using the sherpa-onnx library, providing local speech synthesis without cloud dependency.

Generates and edits images using the Gemini API, supporting text-to-image, style transfers, logo creation, and multi-reference composition.

Creates clear, accurate data visualizations following best practices for effective insight communication and visual storytelling.

Populates development containers with synthetic device data for testing database seeding and sample data scenarios.

Wipes and regenerates the NetAlertX database and configuration to restore a clean state.

Extracts and processes text, tables, and structured data from PDF documents for analysis and information retrieval.

Enables progressive URL scraping via Bright Data's API, supporting tiered data collection for data science workflows.

Generates dynamic AI prompts using templates and patterns for optimized model interactions and programmatic composition.

Multi-agent debate system enabling AI agents to discuss topics and generate diverse perspectives for balanced analysis.

Provides robust web scraping with fallback mechanisms to handle bot detection and inaccessible sites, ensuring reliable data collection from the web.

System for dynamically generating and optimizing AI prompts via templates and patterns to improve model performance and consistency.

Manages dynamic creation, personality assignment, and parallel orchestration of AI agents with customizable traits and voices.

Builds and deploys Lightdash analytics projects with dbt models, metrics, dimensions, and dashboards via CLI.

Generates AntV Infographic DSL syntax for data visualization, handling template selection, data structuring, and theme configuration from user input.

Provides RAG-powered semantic search and project management for knowledge retrieval via Archon's REST API integration.

Generates daily technical news reports by scraping, filtering, and formatting content from predefined URLs into Markdown format.

Designs, audits, and optimizes analytics tracking systems (GA4, GTM) for reliable data collection, emphasizing measurement strategy and signal quality.

Enables implementation of data quality validation pipelines using Great Expectations, dbt tests, and data contracts for robust data governance.

Builds real-time conversational AI voice engines with streaming transcription, LLM agents, and TTS synthesis, supporting interrupt handling and multi-provider integration.

Orchestrates structured, sequential multi-agent design reviews to prevent blind spots and ensure comprehensive evaluation through non-overlapping agent roles.

Designs optimized PostgreSQL schemas with best practices, data types, indexing, and constraints for performance.

Specializes in designing and building LLM-based conversational interfaces, chatbots, and intelligent AI applications for seamless user interactions.

Designs business KPI dashboards with optimal metric selection, visualization best practices, and real-time monitoring patterns for data-driven decision making.

Saves context state for AI applications to maintain conversation continuity and enable stateful interactions.