3. Data, Science & AI

Provides defensive techniques using adversarial examples to enhance machine learning model robustness and security.

Creates dynamic calculations for ArcGIS popups, labels, and styling using Arcade expressions, enabling data-driven visualizations and field computations.

Offers interactive map tools for layer comparison, distance/area measurement, and routing in geographic information systems (GIS).

Enables storage, querying, and visualization of connected data using ArcGIS Knowledge Graphs and openCypher for graph database management.

Automates map renderer generation and statistical summaries for geospatial visualizations including heatmaps and class breaks.

Enables working with advanced GIS layer types (WMS, WFS, WMTS) for OGC services and server-side rendering in ArcGIS.

Enables spatial analysis, geoprocessing, and geospatial queries via ArcGIS REST services for routing, elevation, and feature statistics.

Overlays images, videos, and animated GIFs on maps for historical imagery, plan overlays, and georeferenced media content using ArcGIS MediaLayer.

Performs spatial geometry operations including buffering, intersection, union, and mesh analysis for geospatial data processing.

Analyzes Bitcoin market momentum across multiple timeframes using custom kinetic theory, generating trade signals and detailed reports on trend segments and divergence patterns.

Enables modeling, analysis, and management of utility infrastructure networks using ArcGIS, including tracing and asset association.

Provides standardized datasets and benchmarks for evaluating AI model security, robustness, and safety.

Real-time monitoring of production AI models for adversarial attacks and model drift to ensure sustained performance and security.

Enables advanced 3D geospatial visualization including LiDAR, volumetric data, and custom WebGL rendering for ArcGIS applications.

Creates 2D and 3D maps via ArcGIS Maps SDK for JavaScript, supporting map initialization, scenes, and navigation.

Automates board-ready car insurance reports from data files, featuring McKinsey-style analytics, dual-dimensional insights, and custom visualizations.

Generates complex cartographic symbols via CIM for multi-layer maps, animated markers, and data-driven visualizations.

Transforms and converts geographic coordinates between coordinate systems and projections, supporting multiple output formats for spatial data.

Calculates 16 auto insurance KPIs from weekly CSV data, performing aggregation to output metrics including loss ratio and marginal contribution.

Orchestrates multi-provider AI model invocations (Claude, Codex, Gemini, Cursor) via native task agents with fallback authentication.

Manages batch execution of data processing, training, and script workloads on Domino platform with scheduling, monitoring, and API support.

Traces and evaluates GenAI applications in Domino, capturing LLM calls, RAG pipelines, token usage, latency, and cost with MLflow integration.

Framework for building AI agents that maintain state and progress across sessions for complex, long-term coding workflows and large codebase management.

Extracts text and tables from PDF documents for data analysis and processing tasks.