Justyn Richardson

Designed and developed AI models for customer prediction systems, improving sales forecasting by 30%. Implemented deep learning models using TensorFlow and PyTorch for natural language processing tasks. Optimized machine learning pipelines, reducing data processing time by 40%. Worked on deploying AI solutions in cloud environments (AWS, Azure) with a focus on scalability and security. Led efforts to integrate AI models into production systems, enhancing product recommendations for end users.

Developed and maintained full-stack applications using Python (Django, Flask) and JavaScript (React, Node.js). Built API endpoints and integrated third-party APIs to enhance platform functionality. Spearheaded the migration of legacy systems to modern cloud-based infrastructure (AWS), reducing operational costs by 25%. Wrote unit and integration tests to ensure high-quality software and reduced system downtime. Contributed to performance tuning and debugging of applications, improving user experience and system reliability.

Assisted in the development and deployment of machine learning models for predictive analytics. Collected and cleaned large datasets, performing exploratory data analysis to support model development. Built and tested recommendation systems to personalize user experiences, resulting in a 15% increase in user engagement. Assisted in setting up and maintaining cloud-based services for model training and deployment.