Fitzgerald Leonard Gerardo Toro Quitian

• Taught courses in image and signal processing, as well as advanced image processing.
• Introduced the fundamentals of deep learning and inferential statistics, emphasizing practical applications.
  Technologies used: Python, PyTorch.

• Project 1 Workplace Risk Inference: Developed a risk inference module using semi-supervised training with CNN models.
• Project 2 Conveyor Belt Analysis: Created a module for classification, segmentation, and damage stratification in conveyor belts using CNN models with both supervised and unsupervised training, optimized for low computational cost and high performance.
• Project 3 Semi-Automatic Diet Generation: Designed an NLP module using transformer models to enable semi-automatic diet creation.
• Project 4 Legal Document Analysis: Implemented an NLP solution with transformers and graph neural networks (GNN) to analyze legal documents and extract pertinent information.
• Project 5: Workplace Safety: Designed and optimized computer vision algorithms for detecting personal protective equipment (PPE) and identifying safe work zones.
• Project 6: Recruitment Chatbot: Built a recruitment chatbot capable of extracting user response information and incorporating a response classification model.
  

Technologies used:
PyTorch, TensorFlow, FastAPI, Django, Docker, AWS (Lambda, S3, EC2, API Gateway, ECR, Cognito, Bedrock, CloudFront, SageMaker, CloudWatch, CodePipeline, CloudFormation), DynamoDB, PostgreSQL, GitHub, GitLab, Terraform, CDK.

• Designed CNN and GNN models for left ventricle segmentation in echocardiographic images and for ejection fraction estimation.
• Developed techniques for the artificial generation of echocardiographic images.
  Technologies used: Python, PyTorch.

Utilized a pre-trained human pose estimation model alongside image and signal processing algorithms to extract key biomechanical variables in medical and sports environments.
Technologies used: Java, Python, PostgreSQL, AWS (Elastic Beanstalk, CodePipeline), GitHub.