Taylor Amarel

Developer and technologist with 10+ years of experience filling multiple technical roles. Focused on developing innovative solutions through data analysis, business intelligence, OSI, data sourcing, and ML.

Leveraging Generative AI for Automated Code Generation in Python: A Practical Guide

Revolutionizing Python Development with Generative AI Python, a language renowned for its readability and versatility, is undergoing a transformation thanks to the advent of generative AI. Imagine automating mundane coding tasks, generating unit tests with ease, or creating API endpoints in a fraction of the time. This comprehensive guide delves into the world of AI-powered

Revolutionizing Marketing & Branding: Leveraging Generative AI for Automated Video Content Creation

The Dawn of AI-Powered Video: A New Era for Marketing In today’s dynamic digital landscape, video content stands as a cornerstone of successful marketing. Its ability to engage, inform, and entertain has made it an indispensable tool for businesses of all sizes. However, the creation of high-quality, engaging video content at scale presents a significant

Building Scalable and Cost-Effective Machine Learning Pipelines on AWS SageMaker

Building Scalable and Cost-Effective ML Pipelines on AWS SageMaker Building and deploying machine learning models can be a complex and costly endeavor, often fraught with challenges in scalability, cost management, and security. Developing a robust and efficient Machine Learning (ML) pipeline requires careful consideration of various factors, from the initial data preprocessing stages to model