ML Platform Tradeoffs and Wondering Why to Use Them

During the last 3 years building the internal ML platform for Mercado Libre (NASDAQ MELI), the biggest company in Latam, and the eCommerce & fintech omnipresent solution for the continent.

Seasoned entrepreneur and leader, I was co-founder and CTO of Machinalis, a hi-end company building Machine Learning since 2010 (yes, before the breakthrough of neuralnets). When Machinalis got acquired by Mercado Libre, that small team evolved to enable Machine Learning as a capability for a tech giant with more 10k devs, impacting the lives of almost 100 million direct users.

On a daily basis, I lead not only the tech and product roadmap of our Machine Learning Platform, but also our users' tracking system, the AB Testing framework, and the open-source office.

I love hanging out with family and friends, python, biking, football, carpentry, and slow-paced holidays in nature.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.