With +10 years of experience in Go-to-Market, User Activation and Product Leads Growth, I have been helping early stage founders to set up their product launch, acquisition and activation metrics, and design their growth engine.
I will teach you to choose, design and build the flows to collect data for your customer acquisition and growth metrics. This metrics will align with your product and operational capabilities with focus on the next steps to set up automated growth workflows.
Through my consultations gigs I am financing a research project aiming to leverage distributed data pools into Federated Learning.
Federating Learning to accelerate user adoption into distributed data economy.
The main purpose of this document is to establish three criteria in which a decentralized approach to machine learning for inter-species communication can deliver better outcomes focused on performance, adoption, and accuracy.
By using a decentralized or federated learning approach and leveraging blockchain-distributed infrastructure, we can enhance adoption, data network effects, and shared randomness to perform distributed fine-tuning with low bandwidth Zelikman, et al. (2023),
If there is something you think I can help you with please don’t hesitate, let’s chat.