Languages

Core statistical and scripting languages for modeling and automation.

Machine Learning Platforms

Frameworks for experimentation, deep learning, and productionized workflows.

LLM Systems

RAG model systems with embedding models, prompt engineering.

Data Engineering

Pipelines and orchestrators that keep experimentation data fresh and auditable.

Relational Databases

Operational data stores that power analytics-ready models.

Data Warehouses

Columnar warehouses for governed large-scale analytics.

Dashboarding & Visualization

Interfaces for sharing KPIs, diagnostics, and geospatial views.

Cloud Environments

Cloud platforms supporting infrastructure, data products, and deployment.