Leandro Lima
I'm a machine learning engineer with a degree in computer science (BSc and MSc in computer science, and a PhD in data science/bioinformatics). I have been a Python and R Programmer since 2009 and have experience as a Computer Science lecturer and a Data Scientist.
I can help you with data acquisition and wrangling, training, testing Machine Learning models, and deploying them to production.
At Meta, harnessing machine learning to enhance the integrity of global social platforms is not just a job—it's a mission. Within the Integrity Measurement team, we're dedicated to identifying and mitigating harmful content, ensuring a safer experience for millions of users on Facebook and Instagram. Our work is pivotal in shaping the digital landscape through ethical AI practices.
Leveraging over five years of bioinformatics and software engineering expertise, the focus has shifted from understanding neurological diseases to making social media a secure environment. My background in applying machine learning to genomic data enables our team to develop innovative solutions that measure and reduce online risks. Fluent in Python and driven by data, we're committed to advancing the field of online safety.
Let's talk!
REVIEWS FROM CLIENTS
sed ML with first team to improve video recommendation algorithms for new users in the Facebook app. Also built and maintained data pi...
sed ML with first team to improve video recommendation algorithms for new users in the Facebook app. Also built and maintained data pipelines (SQL/Presto + Python), and set up and monitored experiments (A/B tests) for millions of users.
- Launched a few models that increased the number of sessions and watch time without regressing other safety and business metrics.
- With second team, worked on ML models that predicted virality growth on Facebook and Instagram. Ran feature selection, trained, tested/validated, shipped, and monitored several metrics (e.g., accuracy, feature coverage, API error rate, etc.) to improve these models, making millions of predictions daily.