Mark TellezMark Tellez

Convolutional Neural Networks: Expert in Visual AI

My extensive experience with Convolutional Neural Networks (CNNs) spans medical imaging, screen capture analysis, and diffusion models. I've developed sophisticated visual recognition systems that outperform published research papers, delivering production-ready AI solutions with remarkable accuracy and efficiency.

Technical Proficiency and Strategic Value

My CNN expertise goes beyond implementing existing architectures—I design custom neural network topologies tailored to specific visual recognition challenges. During my time at DevmentorLive, I conducted significant research in medical diagnostics, developing CNN models for chest and brain X-ray analysis that outperformed published papers from 2018-2019.

Key Capabilities

Medical imaging analysis with state-of-the-art accuracy
Diffusion model implementation for generative AI applications
Screen capture analysis for intelligent UI/UX automation
Custom CNN architecture design for specialized applications

Real-World Applications

My CNN implementations have delivered tangible value across multiple domains:

During my time at DevmentorLive, I developed sophisticated CNN models for medical diagnostics that analyzed chest and brain X-rays alongside blood and hormone markers. These models achieved remarkable accuracy, outperforming several published papers from 2018 and 2019.

I've also implemented diffusion models for generative AI applications, creating systems capable of producing high-quality synthetic images while maintaining control over the generation process. These models have applications in content creation, data augmentation, and specialized visualization tasks.

Technical Approach

My approach to CNN development emphasizes:

Architecture Optimization

Designing network topologies that balance computational efficiency with model performance, ensuring solutions that work in production environments.

Transfer Learning

Leveraging pre-trained models as foundations, then fine-tuning for specific tasks to accelerate development and improve performance with limited data.

Data Efficiency

Implementing techniques to maximize model performance with limited training data, including augmentation strategies and regularization methods.

Let's Build Your Next Visual AI Solution

Looking for an expert who can develop CNN-based solutions for medical imaging, computer vision, or generative AI? I'm ready to help transform your requirements into production-ready systems that deliver exceptional results.