Hi! I’m Rafael. I’m a data scientist and machine learning engineer focused on Natural Language Processing, Search and Recommendations.

I plan, lead and execute on research, development and deployment of ML and NLP systems, as well as general devops required to run fast, secure and reliable platforms.

Since 2019 I have been at Scribd as an Applied Research Data Scientist focused on Content Modeling.

Between 2017 and early 2019 I was a Machine Learning Engineer at Ross Intelligence where I developed a Natural Language search engine for the legal domain.

My key contributions in industry are in the following domains:

  • Question Answering
  • Learning-to-Rank
  • Information Retrieval
  • Item and User Embeddings
  • Recommendation Systems
  • Entity Extraction and Linking

In 2017 I graduated from the University of Toronto with a MSc in Applied Computing. My focus was the application of Deep Learning methods for Question Answering in the legal domain.

Contact me at my-first-name (at) lacerda.ch

View my resumé [PDF] [DOC]