3. Data, Science & AI

Optimizes 2D item placement in fixed-width strips to minimize height or maximize space utilization for cutting stock problems.

Applies reinforcement learning to optimize supply chain operations, including inventory management, dynamic pricing, and warehouse robotics decision-making.

Optimizes delivery routes for Split Delivery VRP (SDVRP), allowing multiple customer visits when demand exceeds vehicle capacity.

Solves set covering optimization problems, including minimum set cover and facility coverage, using mathematical algorithms.

Optimizes vehicle routing across multiple depots for efficient logistics distribution and resource allocation.

Enables ML predictions to augment optimization models, supporting hybrid AI-optimization workflows for enhanced decision-making.

Applies YOLO and RCNN models for warehouse computer vision tasks including defect detection, package tracking, and inventory counting.

Provides supply chain performance analytics, KPI tracking, and data visualization dashboards for business intelligence.

Assists in optimizing electrical grid operations, including power transmission, distribution, and supply-demand balancing for grid reliability.

Optimizes 3D space utilization by solving container, box, and cargo loading problems with efficient packing algorithms.

Provides tools for solving stochastic programming, chance constraints, and scenario-based optimization under uncertainty.

Generates AI agent configuration files (AGENTS.md, CLAUDE.md) via guided briefing for role-specific and business-domain agent setup.

Configures ROS 2 and Gazebo Sim (Ignition) for autonomous robot simulation, handling asset preparation, sensor integration, and launch setup.

Provides real-time web search results via Tavily API for integrating external data into RAG systems, optimized for cost and efficiency.

Edits model configuration files and tests model endpoints using multi-protocol curl requests for AI/ML workflows.

Enables text-to-image and image-to-image generation using Flux.2 model on Apple Silicon via MLX Swift framework for native Swift implementation.

Provides concise analysis of trading logs to identify issues and deliver core improvement suggestions for trading operations.

Enables creation of new functional capabilities for AI agents, extending their task execution repertoire.

Applies NLP techniques to supply chain data for document extraction, supplier sentiment analysis, and product classification from unstructured text.

Maps URIs to balances in distributed ledger systems using JSON-LD for querying and managing web-based ledgers across platforms.

Adds or modifies database models in Ecto-based Elixir applications using SQLite schema conventions.

Provides tools and prompts for managing Tinybird projects, including data queries, deployments, and testing of data APIs.

Processes and transforms data arrays using standard operations including filtering, mapping, and aggregation for efficient data manipulation.

Provides expert assistance in writing, optimizing, and designing SQL queries and database schemas across multiple database systems including PostgreSQL, MySQL, SQLite, and SQL Server.