Joseph Rozelle
@josephrozelle
Senior Data Scientist specializing in NLP and deep learning solutions.
What I'm looking for
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.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Apple
Sep 2021 - Present (3 years 10 months)
Engineered scalable deep learning pipelines on cloud infrastructure, leveraging Transformer-based models such as BERT, T5, and BYT5 to enhance text analysis capabilities for customer experience insights. Developed and fine-tuned multilingual Transformer architectures (mT5, BYT5) to support global NLP initiatives, improving model performance on diverse datasets by 18% across major languages.
Machine Learning Engineer
IBM
Apr 2017 - Aug 2021 (4 years 4 months)
Spearheaded the design and deployment of intelligent automation solutions, integrating traditional machine learning models with Robotic Process Automation (RPA) frameworks to accelerate business workflows across multiple Fortune 500 clients. Constructed scalable machine learning pipelines using cloud-native services (AWS, Azure) and open-source technologies (TensorFlow, Scikit-learn), reducing mod
Software Engineer
Wipro
Oct 2015 - Mar 2017 (1 year 5 months)
Developed scalable web applications using AngularJS and Python, contributing to enterprise solutions for clients in the finance and healthcare sectors, improving application responsiveness and maintainability. Engineered RESTful APIs with Python (Flask) and Node.js to streamline backend workflows, resulting in a 30% reduction in response times and enhanced integration with third-party systems.
Education
Degrees, certifications, and relevant coursework
Florida State University
Master of Science, Mathematics
Completed a Master of Science degree in Mathematics. Focused on advanced mathematical concepts and their applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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