Carlos is a Ph.D. student an currently is a Data Scientist and ML Engineer who has been involved in different sectors such as Financial, Education, Retail, and Telecommunication for more than nine years. He has played a crucial role as MLOps engineer, where he deployed pipelines for integration, training and prediction using different architecture approaches to follow up model performance. Carlos has a strong foundation in computer science and machine learning. In addition, he played as a research assistant for a leading University at Mexico in the development of AI algorithms for pattern recognition and robotics using computer vision.

Currently he works on Generative AI to standardize different LLMs model on a private cloud, this allows to have meet security data compliance when a file is uploaded.

You can watch my fullcv at CV tab

CurrentEducation

• Ph.D. student in Computer Science, UNADE, (expected 2026)

CurrentWork experience

• Data Scientist at Globant.

Tools

• Python
• FastAPI
• Arduino
• Docker
• SQL

Publications

Classification of poisonous species using shape features

Urteaga-Reyesvera, J. Carlos, and Andre Possani-Espinosa. "Scorpions: Classification of poisonous species using shape features." Electronics, Communications and Computers (CONIELECOMP), 2016 International Conference on. IEEE, 2016.

Talks

AutoNOMOS Contest

November 01, 2016

Workshop at Workshop Autonomous Car, Mexico City, Mexico

Big Data and IoT Using Fiware

September 01, 2017

Talk at Encuentro ANUIES - TIC 2017, Guadalajara, Jalisco

Big Data and IoT Using Fiware Workshop

November 08, 2017

Workshop at REDMEXSU 2017, Ensenada, Baja California

Teaching

Logic Circuits

Computer Networks

Mechatronic Principles

Hobbies

• Running
• Cooking
• Movie watcher