Agent systems: architecture, tools, memory, orchestration, and autonomy. Use for building AI agents and workflows.
AI/ML foundations: model selection, prompt design, RAG, embeddings, and vector search. Use for core AI app design and build.
AI/ML operations: evaluation, monitoring, cost control, and reliability. Use for productionizing AI systems.
Workflow and app automations across SaaS tools, APIs, and integrations.
Cloud platform engineering across AWS/Azure/GCP, IaC, networking, containers, and cost optimisation.
Data & analytics: pipelines, BI, SQL optimisation, analytics tooling, and dashboards.
Core UI/UX and product design: IA, flows, visual systems, UI patterns, and generators. Use for end-to-end design work.
Design QA: accessibility, WCAG compliance, and visual/consistency validation. Use for audits and remediation.