3. Data, Science & AI

Builds and debugs RAG systems for AI applications through knowledge ingestion, vector search, and embedding management.

Conducts parallel exploratory data analysis (EDA) to generate statistical insights, missing data reports, and visualizations from datasets.

Provides Microsoft-aligned best practices for writing efficient, maintainable, and performant DAX formulas in Power BI for data modeling and analysis.

Allows real-time feedback and instruction updates to an AI agent during task execution via terminal interface.

Guides implementation of AI agent workflows in Python on Microsoft Dataverse for intelligent business process automation.

Provides guidelines for generating SQL statements, stored procedures, and triggers in .sql files for database development and management.

Provides comprehensive best practices for safe and responsible AI prompt engineering, bias mitigation, and safety frameworks for LLMs and Copilot.

Creates parameterized prompt templates for MCP to enable consistent and efficient LLM application development.

Optimizes multi-agent team assembly, task decomposition, and workflow coordination to maximize performance and resource utilization through AI-driven orchestration.

Logs and edits AI copilot's thought process to reshape interactions and save for follow-up.

Processes audiobooks by transcribing audio to text and organizing files for voice model training.

Generates interactive data visualizations for car registration and COE (Certificate of Entitlement) data, enabling clear insights through dynamic charts.

Customizes GitHub Copilot for Microsoft SQL Server Database Administrator (DBA) workflows, enhancing SQL query assistance and database management interactions.

Expert guidance for designing, optimizing, and maintaining SQL/NoSQL database schemas with normalization, indexing, and GDPR compliance.

Guides advanced Python-based data operations in Microsoft Dataverse, including API integrations, data modeling, and business logic implementation.

Provides instructions for configuring GitHub Copilot to assist with MongoDB database administration tasks, enhancing DBA workflow efficiency.

Provides practical Python code examples for interacting with Microsoft Dataverse, including data operations and integration scenarios in real-world applications.

Queries blockchain data across multiple chains, builds AI agents for crypto analytics, and automates data pipelines for on-chain insights.

Guides integration of LangChain with Python for building LLM applications, triggered by Python file changes.

Provides Microsoft-based best practices for designing effective, accessible, and performant Power BI reports and dashboards with emphasis on data visualization.

Adds document knowledge bases and persistent context to Tavus CVI personas via RAG, enabling reference to PDFs/websites and user memory across conversations.

Provides data-driven analysis for Solana memecoin trading, including token metrics, liquidity checks, and entry/exit signals on platforms like pump.fun and Raydium.

Assists with PostgreSQL 16 database operations including SQL queries, indexing, transactions, and JSON handling.

Programmatic API for Google NotebookLM to create AI-generated research notebooks, add sources, and export content artifacts in multiple formats.