3. Data, Science & AI

Provides real-time currency exchange rates using Frankfurter API with ECB data for conversions and historical analysis.

Detects duplicate and near-duplicate images using MD5 and perceptual hashing (dHash/pHash) for efficient image similarity matching.

Analyzes agent files, descriptions, and workflows to determine task suitability and capability match for existing or new AI agents.

Optimizes database performance through query tuning, index design, and analysis of slow queries to enhance data retrieval efficiency.

Performs data analysis, generates reports, and creates dashboards for business intelligence and data-driven decision making.

Runs scaling experiments to analyze model, data, and compute relationships for optimizing AI training and model size decisions.

Executes neural network training with built-in monitoring and best-practice defaults for model training jobs.

Interactive diagnostic workflow for resolving common machine learning training failures including stuck loss, exploding gradients, and NaN values.

Provides a demo knowledge base for manufacturing processes, capturing tribal knowledge and enabling queryable access to answer process-related questions for client demonstrations.

Executes model validation on datasets for performance testing, checkpoint comparison, and final evaluation in machine learning workflows.

Fetches YouTube video transcripts and subtitles for content analysis and accessibility enhancement.

Provides a verified sources database with AI-driven reliability scoring and source recommendation capabilities.

Guides users in building and executing Google Ads Query Language (GAQL) for custom data analysis, advanced reporting, and metric extraction from Google Ads.

Creates interactive data visualizations including charts, graphs, and maps using the D3.js library for data analysis and presentation.

Maintains session context during extended interactions to prevent loss from automatic conversation compaction.

Expert guidance for database design, performance optimization, and operational management to ensure efficient data handling and system reliability.

Manages multi-model AI orchestration via Ollama, featuring auto-profiling, smart routing, and ensemble execution for optimized AI task handling.

Automates statistical analysis of CSV data, detecting patterns, anomalies, and recommending visualizations for data-driven insights.

Enhances image quality using AI-driven techniques including upscaling, denoising, and color correction for superior visual output.

Expert in implementing advanced data patterns for PostgreSQL, MongoDB, and Redis in modern application development.

Expert guidance for building and deploying AI applications via Azure AI Projects client library (Python SDK), including agent creation, fine-tuning, and dataset management.

Specializes in data format optimization, serialization patterns, and validation, including TOON encoding and JSON/YAML tuning.

Retrieves current weather and forecasts for Swiss locations using Open-Meteo API, supporting city names or 4-digit postal codes.

Specializes in R 4.4+ development for data analysis pipelines, visualizations using tidyverse and ggplot2, and Shiny application building.