3. Data, Science & AI

Guides systematic AI research processes including literature analysis, experimental design, and model evaluation for AI projects.

Evaluates and implements AI integration solutions for educational technology platforms and learning systems.

Assists in developing, modifying, and testing AI Agents with the Inkeep TypeScript SDK for LLM-based agent applications.

Provides schema design best practices for OceanBase database, covering table structure, partitioning, indexing, and optimization in MySQL and Oracle modes.

Expertise in integrating Chroma vector database for semantic search, RAG systems, and vector-based application development.

Creates custom agent skills to extend Copilot capabilities, enabling specialized tools, workflows, and knowledge domains like PDF and database integration.

Simulates a team of specialized AI agents (researcher, writer, editor) for collaborative content creation, research analysis, and knowledge management through coordinated workflows.

Generates or updates database seed scripts to initialize test and development databases with predefined data for efficient testing and development workflows.

Scans text to identify entities and auto-populates missing ones with wikilinks, enhancing knowledge base connectivity and data completeness.

Provides SQL optimization best practices for OceanBase database, including query tuning, index design, and execution plan analysis in MySQL and Oracle modes.

Guides creation of Model Context Protocol (MCP) servers to enable LLMs to interact with external APIs via Python (FastMCP) or Node/TypeScript (MCP SDK).

Automates AI model benchmarking for SpatialVortex, compares against SOTA models, generates reports with scores and optimization suggestions.

Creates token-efficient agent and workflow definitions via YAML, inspired by BMAD methodology for AI/LLM applications.

Provides strategic product analytics for SaaS and digital products, including metrics frameworks, A/B testing, and behavioral analysis to drive data-informed decisions.

Configures vector storage engines for embedding retrieval in Spice (S3 Vectors), optimizing search performance.

Manages creation and administration of AI digital twins (replicas) using Tavus, including video training, consent handling, and Phoenix-3 model utilization.

Designs PostgreSQL schemas for multiplayer games, covering user accounts, lobbies, game state (JSONB), and query optimization.

Generates AI skills by learning from high-quality GitHub projects through code analysis and pattern extraction.

Enables semantic discovery of concepts and ideas without exact keywords, using AI for contextual content matching across perspectives.

Generates high-quality speech audio from text using ElevenLabs TTS API for voice messages, narrations, and audio content.

Creates compact visual summaries from dashcam videos by extracting frames at intervals, enabling motion trajectory analysis and reducing storage by up to 90%.

Optimizes RAG chatbot performance for robotics textbooks with strict grounding, source citations, and retrieval efficiency.

Provides AI-generated cryptocurrency trading signals (buy/sell/hold) with confidence scores for data-driven investment decisions.

Provides on-chain analytics for cryptocurrency markets, including market valuation, whale activity, and trading signals using metrics like MVRV and SOPR.