Designed and deployed machine learning models for customer behavior prediction, ticket routing, and recommendation systems

Built scalable ML pipelines using Python, TensorFlow, PyTorch, and cloud-based infrastructure

Partnered with product managers and engineering teams to integrate ML solutions into customer-facing platforms

Conducted feature engineering, model evaluation, and continuous optimization in production

Mentored junior engineers and contributed to ML engineering best practices

Developed machine learning and statistical models for large-scale data analytics and monitoring platforms

Applied predictive analytics and anomaly detection to improve system intelligence

Worked closely with software engineers to productionize ML models

Improved data processing efficiency and model performance through algorithm tuning

Supported enterprise customers with data-driven insights

Built backend systems and data pipelines supporting analytics and visualization products

Designed scalable data storage and processing solutions

Collaborated with cross-functional teams on product feature development

Developed strong foundation in software engineering, data systems, and performance optimization

Assisted in application development and system testing for enterprise clients

Supported senior engineers in code implementation and documentation

Gained early exposure to agile development and enterprise software projects