01Applied across production data stacks
SQL & data systems
- 9M+ customer-record suppression pipeline across Snowflake and dbt
- BigQuery customer and commerce architectures with governed event models
SQL / PostgreSQLSnowflakeGoogle BigQueryDataCamp
Available for senior roles and strategic engagements
MarTech · eCommerce · Customer Data · Agentic AI
I turn fragmented, stalled, or compliance-sensitive initiatives into governed systems that scale.
I’m Max Sequeira—a hands-on transformation leader who connects strategy, operating models, data architecture, delivery, and practical AI to move complex work forward.
20+years across digital systems and growth
4 mo.to rescue an enterprise governance program
9M+records governed in a real-time pipeline
Selected environments
NovartisFarmers InsuranceCapgeminiVerixWain1-800-BakeryL’Occitane
Start with the problem
Find the proof that matters to you.
Hiring managers rarely need another chronological portfolio. Choose the pressure you recognize, then see the operating approach and evidence behind it.
Ambiguous ownership · slow decisions · escalation pressure
Turn the initiative into an operating system people can run.
I make the work visible, define gates and decision rights, ship the minimum governed foundation, and create a path from manual control to assistive automation.
Relevant proofNovartis: multi-year stall → audit-ready foundation in four months
Explore the evidence Technical depth
The implementation evidence behind the leadership profile.
SQL, Python, and agentic AI are shown through built systems, operating scale, and a current formal learning record.
Review training and technical proof
02Hands-on implementation and data operations
Python & applied automation
- Enriched 786 product SKUs using Python and the OpenAI API
- Built API-driven commerce, CRM, advertising, and personalization integrations
PythonOpenAIIBMDataCamp
03Built, published, and actively developing
Agentic AI systems
- Google/Kaggle-selected Barber Shop AI Agent Squad capstone
- RAG + MCP commerce-assistant architecture with consent gating and observability
GoogleKaggleOpenAIDeepLearning.AI
Selected transformation work
Evidence across systems, not just specialties.
Each case connects business pressure, operating design, technical architecture, delivery, and measurable outcome.
View all case studies01Enterprise pharma · Governance · AI readiness
Novartis
From multi-year stall to an audit-ready channel governance operating system
A compressed transformation program that gave a compliance-sensitive initiative clear gates, ownership, evidence discipline, and a practical path toward agentic assistance.
NovartisMicrosoft
4 monthsto deliver the operating foundation
60+US brand teams aligned
10SOPs in the governance compendium
02Customer data · Compliance · Activation
Farmers Insurance · via Capgemini
Real-time suppression and consent logic across 9M+ customer records
An urgent customer-data sprint connecting consent, identity, activation, and measurement across a complex enterprise stack.
Farmers InsuranceCapgeminiTwilio SegmentSnowflake
9M+customer records in the suppression pipeline
20+concurrent workstreams structured
Real timesuppression and ad-platform activation
03B2B SaaS · Revenue systems · AI acceleration
Verix.io
A MarTech operating system rebuilt from CRM taxonomy to activation
Two iterative engagements spanning HubSpot architecture, enrichment, campaign execution, cross-platform measurement, and an agentic outbound roadmap.
HubSpotVerixCustomer.ioMixpanel
3,385 → 8,028enriched contacts in one quarter
30K+contacts in the campaign audience
26%+open rates on warm segments
04eCommerce · Product · Lifecycle · Marketplaces
Wain.cr + 1-800-Bakery.com
Full-stack commerce systems that compound growth
Two operator contexts show the same pattern at different scales: connect product, data, lifecycle, and marketplace execution so growth does not depend on isolated campaigns.
ShopifyWain1-800-BakeryTwilio Segment
+136%Wain visits in the 2024 system
+119%Wain purchaser conversion
+94.14%1-800-Bakery B2C sales
How I work
A pragmatic path from complexity to capability.
My preference is simple: make the operating reality explicit, deliver a foundation quickly, and automate only where the organization can govern the result.
Make the system visible
Map owners, decisions, data, evidence, and constraints before adding another platform or automation layer.
Ship the operating foundation
Use short delivery loops to move from ambiguity to a governed minimum viable system that teams can actually run.
Automate what can be governed
Introduce AI where context, permissions, evaluation, and human checkpoints are explicit enough to support trust.
THE CONNECTIVE ROLEBusiness system integrator
One accountable view across the layers that usually get separated.
01Strategy & P&L
02Product & delivery
03MarTech & customer data
04Governance & compliance
05Analytics & measurement
06AI workflows & evaluation
Project lab
I learn by building the system.
Noosphera is the lab: agentic workflows, IoT-to-CDP activation, career tooling, and AI-enabled commerce experiments with real operating constraints.
Enter the project labIn development2026
Barber Shop AI Agent Squad v2
From competition prototype to governed service-business system
Open project ↗Published2025
Barber Shop AI Agent Squad
Google / Kaggle AI Agents Intensive capstone
Open project ↗Published2023
CLIMA
Client-Linked Integration of Meteorological Activity
Open project ↗Live2025
Job Army Knife
A practical toolkit for structured job-search work
Open project ↗What collaborators say
Max has been of tremendous value in our Digital Strategy definition and implementation. He’s extremely knowledgeable, keeps on learning, and clearly understood our needs to build concrete and efficient solutions.
I worked with Max for six years with different brands; his work is excellent. He has a lot of initiative and creativity.
He was an excellent research assistant in all respects: dependable, hardworking, and always willing to help. He facilitated my data collection efforts and proved to be the perfect assistant.
Professional identities and relationships are shown so the evidence can be evaluated in context. Direct personal contact details remain off the public page.
Field notes
Applied thinking, preserved and updated.
Five surviving articles from the original Noosphera archive, migrated locally with their original publication context.
Browse all insights
AI-enabled commerce · October 2, 2024
Ecommerce Product Catalog Optimization at Scale with AI: Python, OpenAI, and Azure's Bing Search API
This article outlines our journey in enriching Wain.cr's product catalog, from conceptualizing the approach to deploying Python scripts that leveraged AI to automate and scale the process. By the end, you’ll have a step-by-step guide, along with Python code examples, to DIY this process in your own business.
PythonOpenAIWain
Applied experimentation · August 29, 2024
Using AI to Win the Lottery?! - ChatGPT for Informed, Adaptable Decision-Making
Explore how a simple exercise in predicting lottery numbers using ChatGPT can provide deep insights into recognizing patterns, making projections, and ultimately, improving the quality of your marketing and product management decisions.
OpenAI
eCommerce growth · May 25, 2024
132% Growth thru Entity-Based SEO: Wain.cr's Data-Driven SEO Audit & Optimization Plan
Learn how Wain.cr achieved 132% growth through entity-based SEO with a comprehensive SEO audit & Search Engine Marketing plan. Explore data-driven strategies including entity SEO, semantic graphs and the involvement of data warehousing & machine learning in the ongoing optimization process, and check out a toolset of suggested platforms to boost organic search performance and drive user engagement for your business.
WainGoogle
A complex mandate should become a clear system.
Let’s make the operating model visible—and get it moving.
Senior Product, eCommerce, MarTech, customer-data, and AI-operations leadership · Mexico City · Global remote collaboration.