Lead the Brazil-region Solutions Architecture & Customer Success team while delivering GenAI automation and strategic-account implementations.

• Lead a cross-functional team of Solutions Architects and Customer Success Managers, owning technical delivery quality and team capacity planning.
• Partner with global engineering leaders to define integration architecture standards and deployment patterns.
• Architect and deploy Generative AI tooling and autonomous agents (CrewAI) to automate internal workflows and reduce manual effort.
• Establish integration standards, architectural decision records and engineering playbooks for the global team.
• Continue delivering full SaaS implementations for strategic accounts — Python integration services on AWS Lambda, REST / webhook integrations and low-code configuration.

Established the remote Brazil team and delivered end-to-end enterprise ELN / LIMS implementations and system integrations.

• Established a remote Solutions Architecture and Customer Success team in Brazil.
• Architected and delivered end-to-end Alchemy ELN / LIMS implementations for enterprise specialty-chemical clients, translating business requirements into scalable designs.
• Built bidirectional system integrations using REST APIs, webhooks, OpenAPI / Swagger, OAuth2 / JWT, AWS API Gateway and lab-instrument protocols.
• Presented technical architecture and demos to CTOs, IT leadership and client engineering teams.
• Monitored and troubleshot production integrations with AWS CloudWatch.

Hands-on integration engineering — Python services, a published SDK and legacy-system data migrations.

• Developed and maintained Python integration services connecting the Alchemy SaaS platform to ERP, LIMS and lab-instrument ecosystems.
• Built and published a Python SDK to speed up REST API consumption for internal and client integration work.
• Implemented low-code configurations to digitize and automate client manufacturing workflows, and deployed integration code to AWS Lambda.
• Ran ETL and data migrations from legacy systems.
• Delivered hands-on technical training to client dev and IT teams.

Financial forecasting and analytics for the Oral Care category.

• Built financial forecasting models and automated reporting pipelines.
• Built analytical dashboards for sales & marketing spend optimization.

Market analytics and consumer-behavior modelling over large datasets.

• Built analytical pipelines for market and competitive trend analysis over large consumer datasets.
• Developed machine-learning models for consumer-behavior prediction and ran quantitative consumer-research studies.