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# Ricardo Vazquez

**Headline:** Professional profile
**Location:** Las Vegas, NV, USA

## About

Ricardo Vazquez is a hands-on machine learning and full-stack builder who focuses on identifying real-world practical problems and solving them with technical solutions. Ricardo’s work spans applied LLM integration, computer vision, video processing, and multi-task machine learning. He has integrated LLMs such as Claude into mobile applications and is comfortable independently owning full-stack projects while wearing multiple hats. Ricardo is particularly experienced with ResNet-34, U-Net, and multi-task learning architectures, including tuning loss functions to improve multi-task model behavior. His video-ML work includes extracting frames and calculating masks for model inputs and predictions, as well as iterating on architectures and loss functions for video-prediction challenges. Ricardo has also applied AI to order management for family food sales. Alongside practical application development, he has prepared a private tool for a GitHub showcase, reflecting an interest in presenting technical work clearly and building usable software around AI capabilities.

## Highlights

- Integrated LLMs, including Claude, into mobile applications.
- Tuned loss functions for multi-task machine learning models.
- Worked with ResNet-34, U-Net, and multi-task learning architectures.
- Processed video data for ML models through frame extraction and mask calculation.
- Iterated on model architectures and loss functions for video-prediction challenges.
- Built AI order-management capabilities for family food sales.
- Independently delivered full-stack projects while handling multiple responsibilities.
- Prepared a private tool for a GitHub showcase.

## FAQ

### What does Ricardo do?

Ricardo Vazquez builds practical technical solutions, with experience across machine learning, LLM-enabled mobile applications, video processing, and full-stack development.

### What are Ricardo’s core strengths?

Ricardo is strongest at identifying real-world practical problems and developing technical solutions for them. He combines applied machine learning work with the ability to independently build full-stack projects.

### What experience does Ricardo have with LLMs?

Ricardo has experience integrating LLMs, including Claude, into mobile applications.

### What is Ricardo’s experience with multi-task learning?

Ricardo has worked with multi-task ML models and has experience tuning their loss functions.

### Which machine learning architectures has Ricardo worked with?

Ricardo has experience with ResNet-34, U-Net, and multi-task learning architectures.

### What is Ricardo’s experience with video machine learning?

Ricardo has processed video data for machine learning models, including extracting frames and calculating masks. He has also iterated on loss functions and architectures for video-prediction work.

### Can Ricardo work independently on full-stack projects?

Ricardo is comfortable working independently on full-stack projects and taking on multiple responsibilities across a project.

### What AI application has Ricardo built for family food sales?

Ricardo has built AI order-management capabilities for family food sales, applying AI to a practical operating need.

### What has Ricardo prepared for a GitHub showcase?

Ricardo prepared a private tool for a GitHub showcase.

## Links

- LinkedIn: https://www.linkedin.com/in/ricardo-vazquez-b089282b5

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