3. Data, Science & AI

Optimizes DSPy programs using Bayesian methods for joint tuning of instructions and demonstrations, enhancing AI model performance.

Provides a Python library for accessing, downloading, and analyzing French open data from data.gouv.fr with code examples and documentation.

Quantum-resistant version control system for AI agents featuring self-learning intelligence, ReasoningBank integration, and multi-agent coordination capabilities.

Designs ETL/ELT pipelines with orchestration, error handling, and monitoring for data transformation workflows.

Automates data quality checks, validation rules, and monitoring for data pipelines and governance implementation.

Generates dbt models with structured layering (staging, marts), incremental strategies, and documentation for efficient data transformation pipelines.

Optimizes slow SQL queries using indexing strategies, query rewriting, and execution plan analysis to enhance database performance.

Generates dbt tests for schema validation, data quality, and freshness checks to ensure reliable data transformations in data warehouses.

Creates Python scripts for matplotlib data visualizations with Japanese font support and standardized filename conventions.

Expertise in enterprise AI agent framework design using SemanticKernel, RAG systems, and multi-LLM platforms with NET 8+ and CQRS/MediatR architecture.

Provides AI-assisted 3D computer vision labeling for LiDAR point clouds and sensor fusion using SAM4D/Point-SAM tools.

Analyzes SQL queries to identify performance bottlenecks and applies optimizations for faster execution and resource efficiency.

Provides advanced operations for transforming, manipulating, and analyzing JSON data structures.

Generates professional markdown and HTML reports with data visualizations, tables, and analytical insights from structured data.

Processes CSV files with parsing, transformation, and analytical capabilities for efficient data handling.

Creates realistic test data for database development, testing, and demonstrations, ensuring data integrity and coverage.

Generates optimized SQL and NoSQL queries through an interactive interface for efficient database interactions.

Generates data visualizations and charts using popular libraries and multiple output formats for clear data representation.

Generates database schema diagrams (ERDs) and documentation from existing database schemas for improved data modeling clarity.

Validates data against schemas, business rules, and data quality standards to ensure accuracy and reliability in data processing.

Enables core database operations including data retrieval, manipulation, and management for data-driven applications.

Teaches sustainable, accurate, and theme-aware data visualization techniques for effective data representation.

Enables programmatic reading, writing, and management of spreadsheet data via Google Sheets API.

Generates realistic AI voices from text using ElevenLabs API for high-quality text-to-speech conversion.