3. Data, Science & AI

Identifies gaps in datasets or business processes, triggered by the 'start-gap-finder' command.

Applies data cleaning, preprocessing, and quality assurance techniques to prepare high-quality datasets for analysis and modeling.

Covers relational and NoSQL database technologies including PostgreSQL, MySQL, MongoDB, and Redis for data persistence, optimization, and scaling.

Manages various data layers (Feature, Tile, Scene, GeoJSON) in ArcGIS maps, including configuration and querying.

Builds data pipelines, deploys machine learning models, and develops LLM applications for production environments.

Guides on emerging AI technologies including prompt engineering, AI agents, and red teaming, alongside tech leadership roles.

Builds Retrieval-Augmented Generation systems with optimized embeddings, vector storage, and text chunking for efficient information retrieval.

Enables AI agents to manage short-term, long-term, and semantic memory storage and retrieval for enhanced contextual understanding.

Teaches foundational AI agent design principles including architectures, ReAct patterns, and cognitive loops for autonomous system development.

Configures ArcGIS SceneView environment settings including shadows, lighting, and backgrounds for realistic 3D geospatial visualizations.

Enables custom WebGL-based layer rendering in ArcGIS for advanced geospatial visualizations and integration of custom data sources.

Manages ArcGIS Portal content including WebMaps, WebScenes, bookmarks, and items for configuration and persistence.

Animates and visualizes temporal data patterns using ArcGIS TimeSlider, TimeExtent, and time-aware layers for date-range filtering and analysis.

Styles and renders geographic data for thematic maps, heatmaps, class breaks, and 3D visualizations using ArcGIS.

Generates adversarial inputs, edge cases, and boundary test payloads to stress-test LLM robustness.

Extracts AI model weights, architecture, and training data through API queries for analysis and model reuse.

Processes and analyzes scientific raster data, including satellite imagery, elevation datasets, and multidimensional imagery with pixel-level filtering.

Automates tuning of channel parameters (offset, squelch, AGC) to optimize audio quality for communication systems, especially in weak signal conditions.

Generates interactive HTML dashboards from car insurance weekly report data (Excel/CSV/JSON/DuckDB) with ECharts, tab navigation, and drill-down analysis capabilities.

Enables implementation of safety filters and content moderation guardrails for AI system inputs and outputs to ensure responsible AI behavior.

Validates auto insurance CSV data for completeness, correct data types, and business rules across 26 required fields.

Provides advanced GIS data editing capabilities including subtypes, versioning, and configurable feature forms for complex spatial data workflows.

Enables interactive map features including popups, editing, and sketching for GIS applications using ArcGIS.

Constructs financial models, backtests trading strategies, and implements risk metrics and portfolio optimization for quantitative finance applications.