MarTech · eCommerce · Customer Data · Agentic AI
Portfolio · Case studies · Project lab · Résumé · LinkedIn
I turn fragmented MarTech, eCommerce, customer-data, and AI initiatives into governed systems that teams can operate, measure, and scale.
My work sits where strategy meets implementation: framing the business problem, mapping the architecture and operating model, building the roadmap, and delivering professional-grade work that helps people make decisions and move.
Based between Mexico City, Mexico and Costa Rica. English / Español.
| If the challenge is… | I focus on… | Evidence |
|---|---|---|
| Customer data is fragmented or constrained by compliance | Governance, identity, activation, consent, and an executable roadmap | Customer data & compliance case study |
| Marketing initiatives lack a shared operating system | Channel governance, MarTech roadmaps, measurement, and cross-functional delivery | Novartis · Verix |
| eCommerce scale creates catalog, content, and operational friction | Repeatable workflows, automation, quality controls, and measurable growth systems | eCommerce systems at scale |
| AI pilots need business utility and human control | Practical agent architectures, structured prompts, evaluation, governance, and review loops | Noosphera project lab |
| Project | What it demonstrates | Status |
|---|---|---|
| Job Army Knife · Case study | A transparent, human-in-the-loop prompt toolkit for evidence-backed job applications | Public |
| Barber Shop AI Agent Squad v2 · Kaggle write-up | A multi-agent architecture for the complete customer lifecycle of a local service business | In development |
| Barber Shop AI Agent Squad · Kaggle write-up | Specialized agents coordinating intake, service, loyalty, and reactivation workflows | Published |
| CLIMA · Case study | A real-time Arduino → AWS IoT → Twilio Segment → Databricks pipeline for contextual activation | Published |
| Wain AI commerce systems | Agent-assisted shopping and governed product-content workflows | In development |
My technical toolkit supports the business outcome—it is never the outcome by itself.
- Data and analytics: SQL, Python, measurement design, customer-data workflows, and evidence-led decision support.
- AI and agent systems: structured prompting, multi-agent orchestration, human-in-the-loop controls, evaluation, Gemini, OpenAI, and Google ADK.
- Platforms and integration: MarTech, eCommerce, CRM/CDP, Firestore, Twilio Segment, AWS IoT, Databricks, and Arduino-based event capture.
- Ongoing learning: DataCamp, DeepLearning.AI, LinkedIn Learning, specialist programs, and project-based builds across SQL, Python, analytics, generative AI, and agentic architecture.
- Start with the business problem and the people who must operate the result.
- Make dependencies, decisions, risks, and controls visible.
- Design the architecture and operating model before automating.
- Use evidence and explicit assumptions instead of inflated claims.
- Deliver something decision-ready, maintainable, and built to move forward.
The portfolio includes detailed work across:
- Novartis: AI-ready channel governance and implementation planning.
- Farmers: customer-data compliance, consent, and activation strategy.
- Verix: a pragmatic MarTech operating system and roadmap.
- eCommerce: scalable catalog, content, measurement, and delivery systems.
Read the case studies or review the broader capability map.
If you are working on a complex transformation across marketing, commerce, customer data, analytics, or practical AI, I am always interested in a substantive conversation.
- Portfolio: noospheracr.com
- Email: max@noospheracr.com
- LinkedIn: linkedin.com/in/max-sequeira-g
Strategy is only useful when it becomes a system people can run.