Susmith Rajendra Barigidad
( Lam Research )
Susmith Barigidad is a Software Engineer 3 at Lam Research, specializing in machine learning infrastructure, model deployment, and computer vision applications for metrology images. With expertise in deep learning, MLOPS, and cloud-based model deployment, they have led the design and development of scalable ML pipelines, real-time inference systems, and GPU resource management solutions.
They have contributed to optimizing ML workflows by integrating Azure ML, FastAPI, and MLflow to streamline model deployment, scheduling, and
performance optimization. Their research work includes a published paper on deep learning CNN architectures, and they have served as a peer reviewer for three international journals.
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