Lucas Suarez

I'm a Machine Learning Engineer with a robust academic background in Mathematics and Computer Science from PUC Chile. Specialized in implementing cutting-edge ML solutions and AI applications, with a proven track record in developing innovative projects. Passionate about bridging the gap between theoretical knowledge and practical application. Actively interested in expanding my expertise into other areas of programming.

Education

Computer Science, Master's degree

Thesis in NLP, Extractive Summarization

PUC, Chile. Grad. 2023

Mathematical Engineering, Professional Title

Specialized in Machine Learning

PUC, Chile. Grad. 2021

Mathematics, Bachelor's degree

Specialized in Machine Learning

PUC, Chile. Grad. 2018

Experience

Zenta Group

Expert Machine Learning Engineer

August 2023 - Now

  • Standardized MLOps practices for the ML Engineer role.
  • Automated the deployment of Cloud Infrastructure for the MLOps team.

Tools: Python, Kubeflow, Terraform, Docker, Gitlab CI/CD, GCP, SQL

Pontificia Universidad Catolica de Chile

Adjunt Professor

March 2023 - July 2023

  • IMT2000: Ciencia de Datos. Teached a course for ~50 pregraduate students. Topics: Data preprocessing, Data cleaning, Data Visualization, Exploratory analysis, Hypothesis tests.

Tools: Python, Matplotlib, Pandas, SciPy

Aqua Detection

Software Engineer (Freelance)

February 2023 - June 2023

  • Built a Computer Vision pipeline for video processing, using object segmentation to generate automated report generation.
  • Developed a Web platform that allows users to send jobs to the latter ML Pipeline.

Tools: Python, PyTorch, Kubeflow, GCP, Docker, React, ExpressJS

Centro Nacional de Inteligencia Artificial

Machine Learning Engineer

February 2022 - July 2023

  • Implemented and deployed ML pipelines for ads and products recommendation in e-commerce platforms to automate the retraining and update of models.
  • Built an object detection pipeline for video streams in real time.
  • Improved Machine Learning models for house price and rent estimation in 5% via including visual features.
  • Took part in the development of Araucaria App, a Web Application that allows to draw an image and then create a new one based on a prompt using (img2img) Stable Diffusion.

Tools: Python, PyTorch, NVIDIA's Deepstream SDK, ScikitLearn, MLFlow, GCP, Docker, FastAPI, Flask.