3. Data, Science & AI

AI-driven search agent for real-time X/Twitter trend analysis, news aggregation, and social media insights with blockchain-based transactions.

Manages complex multi-step development tasks for AI agents with specification tracking and token-optimized artifacts across sessions.

Enables PostgreSQL database exploration, schema inspection, table/column analysis, and query execution through a project-configured interface.

Robustly loads CSV files with support for various encodings and delimiters, and generates a data summary for quick analysis.

Extracts text from images, scanned documents, and PDFs using Optical Character Recognition (OCR).

Automates merging multiple CSV files into a unified dataset by generating merge logic through LLM assistance.

Converts natural language descriptions into executable AMPL optimization models for mathematical programming tasks.

A library for data lake governance, connector factories, and analytics orchestration to build dashboards and coordinate analytics agents.

Provides reusable patterns for orchestrating AI agents, including context chaining, multi-agent coordination, and memory management in LLM applications.

CLI tool for managing Google NotebookLM notebooks, sources, and AI-generated content to organize information efficiently.

Converts AMPL optimization model files into LaTeX mathematical formulations.

Enforces isolation patterns in multi-agent systems to prevent coordination collapse and enable safe parallel execution via context minimization and role separation.

Performs geocoding, reverse geocoding, and travel matrix calculations via Moai Lab APIs for location data processing.

Orchestrates dynamic AI workflows through a flow network architecture for adaptive task management and model coordination.

A two-tier agent coordination pattern where a Mayor planner delegates isolated tasks to ephemeral Workers, preventing coordination collapse in AI agent systems.

Solves vehicle routing problems (VRP) using the pyvroom library for efficient logistics route optimization.

Provides utilities for cleaning and preprocessing datasets, including pruning, datetime conversion, and categorical extraction.

Generates exploratory data analysis reports and visualizations from CSV files using LLM and E2B.

Provides a pattern for progressively refining context retrieval in LLM-based systems to resolve subagent context management issues.

Specializes in database design and persistence solutions for NIFTY options trading systems, ensuring reliable data storage and retrieval.

Manages Google Dialogflow CX chatbot agents via REST API for creation, listing, updating, and deletion.

Manages Dialogflow CX conversations and sessions via REST API for testing intents and handling user interactions.

Guides Aurora MySQL schema migrations with reconciliation, idempotent operations, and avoidance of MySQL-specific pitfalls.

Provides IIoT database interaction patterns with TimescaleDB and Apache AGE, including query helpers and mock data generation for time-series and graph data workflows.