About

Rohan Kanade is a highly skilled Software Engineer with expertise in AI/ML Infrastructure. He is currently working at Behavox, where he designs, develops, and delivers highly-available and scalable Machine Learning products. He is proficient in building scalable Continuous Training pipelines for Machine Learning products and identifying and eliminating toil through automation. Rohan values autonomy and results over process and has a systematic First Principles based problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive. Rohan has extensive experience in Machine Learning, Deep learning, Reinforcement Learning, and is proficient in Python, JavaScript, and TypeScript. He is well-versed in Tensorflow, Keras, Scikit-learn, PyTorch, Onnx, SageMaker, and LEAM, Multi-Class Machine Learning Models. He has experience with modern data storage, messaging, and streaming with Apache Kafka, Flink, Spark, Hadoop, Cassandra. Rohan is proficient in Ansible, Salt, Terraform, CDK, CloudFormation, Azure Resource Manager, Helm, Kustomize, CI/CD/CT, Gitops, MLOps, Kubeflow, Nomad, Dask, Amazon EKS. Rohan's open-source contributions include Github and OpenStack/CNCF contributions. He is passionate about contributing to the open-source community and sharing his knowledge with others. Rohan has worked with companies like Avalara and Red Hat, where he has contributed significantly to their infrastructure and product development. At Avalara, he designed, re-architected, and developed On-premise Monolith to Microservices using AWS ECS/EKS. He also designed and migrated CI/CD and Data Pipelines from legacy Jenkins to Gitlab CI Pipelines. At Red Hat, Rohan was the tech lead for unified management and observability of Red Hat Gluster and Ceph storage Products with Red Hat OpenShift. Rohan holds a Bachelor of Science degree in Computer Science from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. He has 7.61 years of relevant experience in the field of AI/ML Infrastructure, Software Engineering, AWS, CI/CD, Terraform, Reinforcement Learning, Ansible, Keras, Sagemaker, Deep Learning, NLP, Spark, Scikit, Big Data, Integration, Python, Javascript, Typescript, Tensorflow, Cassandra, Hadoop, Kafka, Pytorch, Azure, Senior Software