Jesús Cantú

• Trained machine learning models to classify large-scale audio datasets utilizing Python and Hugging Face libraries.
• Developed data engineering pipelines on AWS to improve data reproducibility and scalability.
• Contributed to the integration of ML algorithms with wearable technology, collaborating closely with hardware teams.

- Authored more than 20 comprehensive articles on pivotal topics within data science, machine learning, and data engineering, achieving a consistent monthly readership exceeding 3K views.

- Contributed an article to the LatinXinAI publication detailing the process of training and deploying Large Language Models (LLMs), emphasizing advanced techniques such as transfer learning, attention mechanisms, and regularization.

- Developed and executed long-term research strategies, culminating in the successful procurement of a Google Research Grant valued at approximately $60K in 2023.
- Defined, developed, and assessed the data structures and experimental frameworks essential for building innovative natural language processing (NLP) models.
- Utilized Python to collect and analyze more than 15 million social media data points through various APIs, with the objective of identifying cyberbullying and hate speech.