What I'm doing now

Last updated: January 27, 2025

A transparent look at my current professional focus, learning journey, and personal projects. This page gives you a real-time view of where I'm investing my time and energy.

🚀 Professional Focus

Current Consulting Projects

V4 Company

ConsultingActive

Leading AI product roadmap definition for scaling startup

Fliplet (London)

ConsultingActive

Implementing AI features in no-code platform for enterprise clients

Stealth AI Startup

ConsultingDiscovery

Product strategy for AI-first SaaS solution

AI Learning & Research

LLM Product Integration Patterns

Research

Deep diving into successful patterns for integrating Large Language Models into existing products

AI Safety in Product Decisions

Study

Studying frameworks for ethical AI implementation and bias prevention in product features

AI-Powered User Research

Experiment

Experimenting with AI tools that can analyze user interviews and generate insights

🧠 Current Projects

AI Product Lab

AI Prompt Optimization Tool

Development

Building AI assistant that helps product teams optimize prompts and measure effectiveness

Progress:
60%

AI Product Metrics Framework

Research

Developing framework for measuring success of AI features beyond traditional metrics

Progress:
30%

Veconco Platform Enhancement

Planning

Adding AI-powered insights and pattern recognition to Instagram stories analysis

Progress:
20%

✍️ Writing

Weekly AI + Product Insights

Weekly

Publishing weekly observations about AI product development and industry trends

Platform: LinkedIn & Newsletter

The AI Product Manager's Playbook

Outline Complete

Comprehensive guide based on real implementations across 20+ companies

Progress:
25%

PIX Implementation Case Study

Writing

Detailed behind-the-scenes story of launching Brazil's instant payment system

Progress:
70%

📚 Learning

Current Reading

The Alignment Problem

by Brian Christian

AI Safety45%

Prediction Machines

by Agrawal, Gans, Goldfarb

AI Economics80%

Human-AI Interaction Papers

by Various Researchers

Academic ResearchOngoing

Courses

Stanford CS229: Machine Learning

In Progress

Auditing Andrew Ng's machine learning course to strengthen technical foundation

40%

Fast.ai Practical Deep Learning

Next

Hands-on approach to deep learning for practical applications

🏃‍♂️ Personal

When not thinking about AI and products, I'm running through São Paulo streets, experimenting with new coffee brewing methods, and spending time with my family. I find that the best product insights often come during these quiet moments away from the screen.

Currently training for a half marathon and perfecting my V60 pour-over technique. Both require patience, consistency, and attention to detail—qualities that translate well to product work.