CoE for Generative AI

Lectured on Data Science (IMT2000) to a class of ~50 undergraduate students, covering data preprocessing, visualization, exploratory analysis, and hypothesis testing.Tools: Python, Matplotlib, Pandas, SciPy

Best 4.0 Advanced Analytics- Standardize MLOps practices across the ML Engineers team.- Automate the deployment of Cloud Infrastructure for ML models.- Develop and Orchestrate ETLs for data analytics.- Implement a Chatbot that helps factory operators search for relevant information in machinery manuals via RAG.Tools: Python, FastAPI, Terraform, Kubeflow, Docker, Gitlab CI/CD, GCP, SQL

- Improved Machine Learning models for house price and rent estimation by 5% via including visual attributes with Semantic Segmentation.- Designed, implemented and deployed ML pipelines for ads and products recommendation in e-commerce platforms to automate the retraining and update of (champion) models. 0 to 1 project.- Developed an object detection pipeline optimized for video streams, aimed at identifying anomalies in Santiago's main avenues in real time. This project involved utilizing machine learning algorithms (YOLO) to improve urban safety by generating automatic alerts.Tools: Python, PyTorch, NVIDIA's Deepstream SDK, ScikitLearn, MLFlow, GCP, Docker, FastAPI, Flask.