Summary
Overview
Work History
Education
Skills
Software
Blogs
Certification
Timeline
Generic

Carlos Emilio Camacho Lorenzana

Machine Learning Intern
Mexico City,CDMX

Summary

Reliable Intern studying AI Applications in Physics seeks Part-Time/Full-Time jobs opportunities to expand skills and gain valuable real-world experience. Offers strong interpersonal and task prioritization skills.

Overview

2
2
years of professional experience
6
6
years of post-secondary education
1
1
Certification
3
3
Languages

Work History

Artificial Intelligence Software Developer

AGO Consultores
Coyoacan, Mexico City
03.2022 - Current
  • Utilized data modeling and evaluation strategies to find patterns and predict unseen instances.
  • Conducted statistical analysis and interpreted results to guide organization's decision-making process.
  • Selected appropriate datasets and data representation methods.
  • Consulted with managers to determine and refine machine learning objectives.
  • Designed machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Associate AI Professor

UNAM
Coyoacan, Mexico City
02.2022 - Current
  • Deep Learning for Physics students
  • Tensorflow-Keras as the main framework for deploying neural networks

Machine Learning Researcher Intern

National Autonomous University of Mexico (Physics Institute)
Coyoacán, Mexico City
02.2021 - 12.2021
  • Working with Tensorflow-Keras and PyTorch to develop Deep Learning Models for research purposes, like Solid-State Physics and Medicine.
  • Also developed codes using NVIDIA GPU's for high performance and to detect which parts of codes users will battle with bottlenecks, and how to fix them. GPUs used for this purpose are Tesla V-100 GPU's, which are really powerful graphics cards and allowed us to lead projects and analyze data to identify opportunities for improvements.
  • Finally, used Data Science techniques and Data Visualization to create AI classes for undergraduate Physics students with Jupyter Notebooks.

Education

Bachelor of Science - Physics

National Autonomous University of Mexico
Mexico City, Mexico
08.2017 - Current

No Degree - Actuary

Universidad Anáhuac México Campus Sur
Mexico City
08.2016 - 06.2017

Skills

    Python Programming Skills

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Software

Python

PyTorch

Tensorflow-Keras

Rapids

CuPy

Pandas

Scikit-learn

NumPy

Jax (Haiku)

Blogs

Active writer at "Python in Plain English" publication on Medium.

Published articles:

  • Predicting Cryptocurrency Values with Gradient Boosting Machines using Python: https://python.plainenglish.io/predicting-cryptocurrency-values-with-gradient-boosting-machines-using-python-70fe8608b75b
  • COVID-19: A Complete and Extensive Exploratory Data Analysis Approach Using Python: https://python.plainenglish.io/covid-19-a-complete-and-extensive-exploratory-data-analysis-approach-using-python-9b72fc873cc4
  • Practical Module for an Easy Transition for Deep-Learning Users from Tensorflow-Keras to PyTorch: https://python.plainenglish.io/practical-module-for-an-easy-transition-for-deep-learning-users-from-tensorflow-keras-to-pytorch-8b4f5c080298

Certification

Accelerating End-to-End Data Science Workflows: https://courses.nvidia.com/certificates/5c3972f38dce426c9d5a17117efae3ae

Timeline

Artificial Intelligence Software Developer

AGO Consultores
03.2022 - Current

Associate AI Professor

UNAM
02.2022 - Current

Accelerating End-to-End Data Science Workflows: https://courses.nvidia.com/certificates/5c3972f38dce426c9d5a17117efae3ae

11-2021

Machine Learning Researcher Intern

National Autonomous University of Mexico (Physics Institute)
02.2021 - 12.2021

Bachelor of Science - Physics

National Autonomous University of Mexico
08.2017 - Current

No Degree - Actuary

Universidad Anáhuac México Campus Sur
08.2016 - 06.2017
Carlos Emilio Camacho LorenzanaMachine Learning Intern