10+ years
Machine learning and full-stack delivery
Hands-on work spanning AI product architecture, data systems, evaluation pipelines, and production software.
Founder · Lead consultant
Felipe Batista is accountable for the work.
Not a hand-off hidden behind a firm brand.
Felipe leads every Playbook Atlas opportunity sprint—from evidence review and decision framing through the technical plan and executive readout. He remains the named senior practitioner responsible for the recommendation.
Professional bio
An engineer who can carry the decision into delivery.
Felipe is a machine-learning engineer, full-stack product builder, and founder with more than a decade of delivery experience. His work covers generative AI products, retrieval and document-intelligence systems, evaluation infrastructure, computer vision, data products, and the production software around them.
That background shapes the Playbook Atlas sprint: recommendations are tested against available evidence, operating constraints, integration reality, and what a team can actually ship. The result is designed to be useful to both the executive approving the bet and the technical team inheriting it.
Since 2018
Toptal-verified engineering expert
Independently profiled for machine learning, artificial intelligence, data science, and full-stack engineering.
1M+ users
GenAI product scale
Built and scaled an image-generation product and its quality-evaluation pipeline for a seven-figure user base.
Production depth
Evidence-led AI systems
Delivered RAG, LLM evaluation, document intelligence, computer vision, analytics, and human-review workflows.
Credential claims on this page are intentionally limited to information available in the linked professional profiles. Confidential client names and unpermissioned outcomes are omitted.
Disclosure policy
How trust claims are handled.
- Named accountability. Felipe is the lead consultant responsible for the sprint recommendation and final readout.
- Evidence before assertion. Public-source claims are linked to their sources; estimates, assumptions, and unresolved gaps are labeled as such.
- AI-assisted, human-reviewed. Automation may support research, synthesis, and drafting. Felipe reviews the material decisions and client-facing deliverables.
- Commercial context disclosed. Relevant sponsorships, referral arrangements, vendor relationships, or other conflicts are identified on the affected artifact.
- Client confidentiality preserved. Private work is not presented as public proof without permission; anonymized examples are labeled.
The point of publishing this is that you can hold someone to it.
Direct contact
Put a decision on the table.
Share the opportunity, the decision deadline, and what evidence your team already has. Felipe will reply with the right next step—or say plainly when the sprint is not a fit.
support@playbookatlas.com