Biomedical engineer with more than a year of experience in the computational analysis sector, I have knowledge in Machine Learning, Natural Language Processing. In recent months I have dedicated myself to the creation of NER models.
I have worked in Python since undergraduate, where I took the artificial intelligence elective, later I became a young researcher where I am characterizing unstructured data (text) using rule-based models and machine learning models in order to recognize named entities in clinical histories, such as sign symptom, procedure, clinical problem, substance and anatomy.
Major achievementI have worked with Transfer Learning and I have done Fine Tuning with complex models, I have processed and characterized data that has been a personal challenge. Finally, I have managed to better understand the functioning of the models by delving into the subject of mathematical equations.
Carry out corrective and preventive maintenance of the medical equipment of the institution, in addition to carrying out the management both in the organization of the dates for maintenance and also organizing the legal documentation of the same.
Major achievementI developed and renovated an automatic water supply system for the institution implementing SCADA with PLC, thus producing software for engineering staff that allows them to control and monitor this industrial process remotely.