I am a software developer with a strong background in Computer Science.
I hold a master degree in Computer Science mainly oriented to Machine Learning, Computer Vision, and NLP.
- I have 3 years of experience as a full-stack developer including front-end, back-end, and cloud development with AWS.
- I have 3 years of experience as a Data Engineer and
- 2 years as a Machine Learning Engineer.
I am a passionate about Machine Learning, Deep Learning, Computer Vision, NLP, GenAI, and Data Science.
Below, some technologies I have experience:
Explore some of my key projects that showcase my skills in Machine Learning, NLP, and Computer Vision:
- Speech Analysis - NLP
π‘ Automated speech monitoring to analyze sales calls and improve team performance using NLP techniques. - Hiring Bot - NLP
π€ A chatbot for resume screening, leveraging fine-tuned models and prompt engineering to optimize recruitment. - Spanish Sentiment Analysis
πͺπΈ Developed a sentiment analysis model tailored for the Spanish language using custom datasets.
- Violence Detection
π¨ Built an action detection system to identify violence in videos using action tubes and deep learning. - Deep Estimation for Autonomous Driving
π Implemented a depth estimation model for autonomous driving scenarios with state-of-the-art architectures. - Camera Calibrator
πΈ Created a tool to calibrate cameras for better geometric accuracy in image-based tasks.
- MLOps - CI/CD
π Designed a CI/CD pipeline for heart disease prediction models using Docker, GitHub Actions, and MLflow. - Support Vector Machines - My Analysis
π Performed an in-depth analysis of SVMs for classification and regression tasks with visualizations.
Explore how I design robust and scalable solutions in data engineering:
- Lambda Conversor
π Serverless Excel-to-CSV conversion tool using AWS Lambda for efficient file transformations. - ETL Serverless
π οΈ Built a serverless ETL pipeline leveraging AWS and Terraform for automation and scalability.