Worked as a researcher focusing on optimizing the company ML Ops and creating new machine learning products that helped the business to get the most relevant political and economical insights from social media data. Some achievements include:

• Rebuilt the ML infrastructure using patterns that allowed the business to scale its ML pipelines

• Extracted data from non-text based media content using the latest ML techniques

• Created automated tasks companywide that allowed other fellow researchers to focus less on manual routines and more on research

Worked as a researcher implementing new routines for a proprietary product written in C++.

Worked with TypeScript in the SanarFlix Growth team, a team responsible for quickly implementing the software products and its dependencies for highly conversion rates marketing campaigns. Inside this team I had the opportunity to design and develop a new checkout system for the SanarFlix, a video streaming platform focusing on the medical students journey. After that delivery and spending some time working on the platform payment systems I had the chance to design a new architecture for the payment system shared accross the company, focusing on availability, reliability and manutenability.

Worked mainly with C++ in Laelaps, a team under the data section of Google. Laelaps focus on serving unstructured data in large scale, being a low latency and highly available system that attends the needs of several Google products, like Search and Youtube for example. In this team I had the chance to work on multiple projects distributed accross the Laelaps architecture; creating specializations of the user flow, improving alerting, adding automation and new features to better assist our users and their reliability requirements.