From working products to capable teams.

01 / PRODUCTS

Custom AI applications

For organizations that need a working product—not a strategy deck or a disposable proof of concept.

What this can include

• Full-stack applications, APIs, and internal tools built around AI-enabled workflows
• Retail assistants, intelligent search, retrieval-augmented experiences, and data-processing tools
• NLP and computer-vision applications shaped around real product and operational needs
• Rapid application development with Google AI Studio App Builder and production deployment to Cloud Run
• Enterprise integrations, authentication, data access, and operational controls
• Iterative product work with business, design, engineering, and domain teams

Relevant experience

I have built multiple applications for a global sportswear client, carrying work from use-case framing and UX through code, deployment, iteration, and handoff.

02 / AGENTS + INTEGRATION

Agent systems & delivery patterns

For teams that need the right level of abstraction and control—from guided builders to code-first frameworks and purpose-built services.

What this can include

• Pattern and platform selection based on the workflow, users, data boundaries, operating model, and team ownership
• Code-first agents with Google ADK, Microsoft Agent Framework, LangChain, or LangGraph
• Platform-native delivery with Google Agent Platform and Agent Studio, Microsoft 365 Agent Builder, Copilot Studio, and Microsoft Foundry
• Knowledge, tools, identity, model integration, evaluation, observability, governance, and human oversight
• Retail assistants, retrieval-augmented experiences, and multi-step enterprise workflows
• Custom orchestration only where unusual state, routing, asynchronous work, or control requirements make it worthwhile

Relevant experience

I have delivered across platform-native and full-code agent patterns in Google and Microsoft ecosystems, and built a custom orchestration engine with an internal client team when the broader application portfolio required deeper shared infrastructure.

03 / CREATIVE

Product design & generative media

For design, product, and marketing teams ready to move generative media into actual creation and decision-making workflows.

What this can include

• Image-generation applications using Nano Banana, Nano Banana 2, Nano Banana Pro, and OpenAI omni capabilities
• Virtual try-on experiences and apparel or sportswear visualization
• Product-design ideation, variation, editing, and review workflows
• Campaign imagery, advertisements, short-form video, motion assets, and commercial creative
• Brochures, print collateral, landing pages, campaign sites, and supporting web experiences
• Model evaluation for fidelity, consistency, speed, cost, and creative control
• Human review, brand alignment, and production handoff

Relevant experience

I have worked directly with client design and sportswear teams on product-design tools, image-generation applications, virtual try-on concepts, and campaign-ready creative output—not just model experiments.

04 / ENABLEMENT

AI tool adoption & team capability

For teams that have access to powerful tools but need help turning them into repeatable, responsible, high-value working practices.

Tools and audiences

• Engineering workflows with GitHub Copilot, Codex, and Claude Code
• Microsoft 365 lightweight and declarative agents with Agent Builder, Copilot Studio, and Microsoft Foundry
• Google agent development with Gemini Enterprise Agent Platform, Agent Studio, ADK, and Google AI Studio
• Role-specific enablement for engineers, product teams, designers, business users, and leaders

Programs can include

• Use-case discovery tied to real team workflows
• Hands-on labs, reusable instructions and skills, review practices, and governance guardrails
• Office hours, coaching, champion programs, and measurement of sustained adoption

Evidence of scale

Experience includes enabling 240+ employees in AI and GenAI and teaching 85+ AWS certification learners. I am equally comfortable with executive context, maker-focused workshops, and deep technical sessions.

05 / DECIDE

Architecture & delivery review

For teams with an active initiative, conflicting options, or a system that is not yet ready to carry production expectations.

We examine

• Use-case fit, product scope, success measures, and model strategy
• Application, agent, and integration patterns; data boundaries; security; and governance
• Evaluation, observability, failure recovery, latency, and cost
• Delivery sequencing, ownership, and adoption risk

You leave with

A candid assessment, prioritized risk register, target architecture, and a practical 30/60/90-day delivery path.