Joseph Rozelle

I am a Senior Data Scientist with a robust background in building scalable NLP and deep learning solutions. My expertise lies in leveraging Transformer-based models such as BERT, T5, and mT5 to enhance customer experience and sentiment analysis. I have a proven track record of deploying high-performance machine learning pipelines on cloud infrastructure, optimizing for latency and model efficiency, particularly in multilingual contexts.

At Apple, I engineered deep learning pipelines that improved text analysis capabilities, achieving an 18% performance boost across major languages. I pioneered the integration of advanced text analysis models into production systems, significantly reducing latency while maintaining high accuracy. My experience also includes automating sentiment classification and uncovering actionable business insights through the analysis of millions of unstructured text data points.

Previously, I worked at IBM as a Machine Learning Engineer, where I designed intelligent automation solutions and constructed scalable machine learning pipelines. My role involved developing advanced NLU models and implementing AutoML strategies to streamline predictive analytics projects. I also have experience as a Software Engineer at Wipro, where I developed scalable web applications and optimized backend workflows.