Agents and orchestration
Designing tool-using AI services, workflow agents, checkpoints, and handoffs that connect model capability with reliable enterprise processes.
See the evidenceTechnical capabilities · evidence over scores
The systems, tools, and delivery practices behind the work.
Each capability is grounded in a delivered system, measured pilot, working prototype, or documented production practice. Follow the links to see where it was applied.
01
Agents and orchestration
02
RAG and knowledge systems
RAG and knowledge systems
Building retrieval and generation workflows that keep enterprise knowledge connected to source evidence, quality checks, and bounded use cases.
See the evidence03
Multimodal AI
Multimodal AI
Applying image generation, editing, visual understanding, and mixed-format inputs to production-oriented workflows rather than isolated demonstrations.
See the evidence04
Google Cloud architecture
Google Cloud architecture
Shaping GenAI services around Google Cloud, Vertex AI, Gemini, BigQuery, identity, deployment, and operational boundaries.
See the evidence05
APIs and deployment
APIs and deployment
Turning AI workflows into deployable Python services and APIs with clear contracts, container boundaries, cloud delivery, and operational fallbacks.
See the evidence06
Evaluation, observability and governance
Evaluation, observability and governance
Defining quality gates, measurable pilots, privacy-safe telemetry, safety boundaries, and human checkpoints before an AI capability scales.
See the evidence07
Product and strategy
Systems thinking
Finding the boundaries, relationships, and downstream effects that turn an ambiguous request into a workable system.
See the evidence08
Making and learning
Rapid prototyping
Turning a question into the smallest useful artifact that can reveal what to keep, change, or stop.
See the evidence09
Communication
Narrative design
Structuring complex work so a reader can follow the observation, decision, evidence, and reflection without losing the human question.
See the evidence10
Emerging interfaces
AI experience design
Designing human-facing AI interactions around clear capabilities, uncertainty, consent, safety boundaries, and useful fallbacks.
See the evidence