Cnn, Pytorch, MLops, Docker, Python, Computer Vision, AWS, ViT, U-Net, Surrogate Modeling, LangFuse, PortKey, MLflow, Active Learning, EKS, Bayesian Experimental Design, anomaly detection, Observability

Java, Typescript, MLops, AWS, Python, Kotlin, Azure, Gcp, feature engineering, ranking models, Go, model deployment, applied machine learning, ML systems, Monitoring, CI CD pipelines, production ML infrastructure, Evaluation