sabha krishnan

As a seasoned machine learning engineer with 7 years of extensive experience, I have developed a strong expertise in building data science and machine learning models. My proficiency in AWS cloud and on-premises environments has enabled me to design, develop, implement, and test various applications. With a strong background in technical skills such as AWS Sagemaker, Azure ML, MLFlow, and SciKit Learn, I have successfully improved prediction accuracy and optimized model performance.

In my current role as Senior ML Engineer at GlobalFoundries, I have developed and deployed machine learning models on AWS Sagemaker, achieving a 20% improvement in prediction accuracy. I have also implemented end-to-end ML pipelines, conducted hyperparameter tuning, and established robust monitoring using AWS CloudWatch. My experience in CI/CD pipelines, model versioning, and model security has enabled me to facilitate seamless collaboration and model tracking.

With a strong academic background in data science engineering and automation engineering, I am committed to staying updated with the latest trends and technologies in the field. My certifications in AWS Certified Cloud Practitioner from Amazon Web Services demonstrate my expertise in cloud computing.