Steve Baldwin User

I am a Machine Learning Engineer with over 5 years of experience specializing in Python-based backend development and machine learning model deployment. My expertise lies in creating scalable APIs, efficient data pipelines, and robust ML models on cloud platforms. I have successfully achieved a 20% improvement in predictive accuracy and a 25% reduction in processing time for production environments.

In my current role at Logic Vortex, I lead machine learning projects from data preprocessing to model deployment, utilizing AWS SageMaker and Lambda to enhance inference capabilities. My work has streamlined feature engineering processes, resulting in a 30% reduction in processing time. I am proficient in Django, AWS, Scikit-Learn, Pandas, and NumPy, which I leverage to drive high-performance solutions.

Previously, I worked as a Software Engineer at Kinship, where I developed Python/Django-based APIs and optimized classification and regression models for production. My collaborative efforts with product and data teams have consistently aligned development with project goals, improving cycle times and overall efficiency.