Mauricio Lelis
Data scientist / ML engineer
About
web sources + resumeWeb sources + resume claims.
Report
professional-data verificationHiring assessment
6 role-fits · 2 risksLLM judgment on best-fit roles, bounded by available evidence.
Also a strong fit
7+ years in data science/ML across ACP Group and Nestlé, with hands-on Azure ML, Databricks and MLflow CI/CD experience, fit roles that require building and operationalizing models at scale. Latin America big-data context and stakeholder communication at Nestlé align with senior IC roles and customer-facing solution architect work.
Risks & gaps
Work Experience
1 confirmationWeb sources + resume claims.
Photo gallery
Card images from confirmed sources where the subject is featured. Click any tile to open the source page. Not face- verified — some thumbnails may be article hero shots that show another person.
Personal sites
1 siteWeb properties the subject controls — blog, bio domain, project landing page.
- Personal websitetheorg.com
Inbound mentions
1 mentionVerbatim quotes about the subject from third-party sources.
General mentions
1 of 1 unsigned mentions (no specific author attributed).
Reputation signals
Synthesised from web sources.
- Listed by The Org as a Senior Data Scientist at Nestlé (Brazil). theorg.com 1medium proof
LinkedIn + Resume summary
LLM-distilled, not verbatimSenior ML Engineer & Data Scientist | MLOps/LLMOps | Multicloud (Azure, GCP, AWS)
Brazil · +55 71 992385072 · mjlelis@gmail.com · https://linkedin.com/in/mjlelis
Senior ML engineer and data scientist specializing in MLOps/LLMOps and productionizing models at enterprise scale. Builds multicloud ML platforms and CI/CD pipelines, recently delivering in retail and CPG across Brazil and Latin America. Background spans data engineering, experimentation, and deploying LLM applications with Azure, GCP, Databricks, Kubernetes, and MLflow.
- Lifted model accuracy by 20% using ensemble methods.
- Reduced operational costs 15% by optimizing data workflows.
- Automated pipelines cut processing time by 30% end-to-end.
- Established Azure–Databricks CI/CD and MLOps for LATAM-scale workloads at Nestlé.
- Ran controlled experiments informing dynamic pricing and B2B recommendation rollouts.
- Delivered LLM-driven retail apps for service automation, recommendations, and inventory optimization at C&A.
Leads MLOps/LLMOps, building CI/CD pipelines, Kubernetes-based deployments, monitoring, and LLM applications to scale retail ML products across clouds.
Built and automated multicloud ML pipelines with Docker/Kubernetes, governance and monitoring, and ran A/B tests supporting dynamic pricing and product pilots.
Delivered ML models and Azure–Databricks MLOps CI/CD for LATAM-scale data, and validated B2B recommendation impact through structured A/B testing with business teams.
Led technical pre-sales, building ML prototypes and pipelines on Azure/GCP, running POCs, and partnering with sales to close data-driven opportunities.
Analyzed markets with data and recommended product strategy changes to reduce risk and grow revenue.
Taught introductory interaction design courses and hands-on UX workshops.
Consulted on usability, information architecture, and UX for complex multi-platform digital projects.
Sources
1 cited- 1