Cybersecurity models (detection of network anomalies, detection of malicious URLs, etc.). - Solving Out-Of-Core learning and big data problems. - Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. - Define, implement and improve algorithms to detect known and unknown threats using techniques in machine learning. - Apply the latest technologies in machine learning.

- Research of Machine Learning algorithms (Recommendation and Search). - Model monitoring system. -Linux development with Python and Docker. - Data Storage with Amazon S3. - Databricks for ETL's and data preprocessing. - Amazon Sagemaker for cloud train and inference. - Scheduling and monitoring with Airflow.

I did consulting for various clients. Mainly did: -Research and development of Machine Learning algorithms. -Transformation of data science prototypes. -Compilation of technical documentation of the implemented developments. -Supervision of production of different versions of the developments made. -Coordination with the IT team for the systematization and optimization of the processes related to product creation. -Web scraping.