Atul Y. Email and Phone Number

Building Tech community mainly in the AI and ML field

Working experience with hosting of production ML models considering aspects of Observability, Deployment, Serving, Validation, Compliance and Audit of models.• Owner of the operationalization of ML and data pipelines ensure best practices, reliability, and stakeholder satisfaction• Part of team to create successful ML production systems using modern engineering methodologies and collaboration tools, such as MLOps• Designing, implementing and improving MLOps frameworks for Data Science projects following best practices• Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modeling frameworks and serving infrastructure• Design and develop deployment tools for proving MLOps as a Service and AI as a service• Designing and developing Azure/AWS based cloud infrastructure for developing and deploying AI-driven applications• Build and continuously improve the Data Science pipelines over all stages from data ingestion via feature engineering and experimentation to deployment and monitoring• Collaborate with data scientists and ML engineers to support our products by analyzing models, building pipelines and feedback loops• Implementing the deployment strategy for the ML applications and deploying to K8• Maintain a scalable infrastructure through the use of MLOps tools to automate integrate and monitor operational processes along with our data platform• Experience of DevOps CI/CD for Mobile and Web Apps to include technologies such as Bamboo, Jenkin, Performing pilot testing, Integration, Verification & Validation of Cloud infrastructure features.• Designing and Integration of the cloud platform with the Machine learning/AI services of the azure Databricks for image processing.• Exploring new automated solutions around the applications and presenting the demo to leadership.

Analyzing, developing, interpreting and evaluating complex cloud system design and architecture specifications data models and diagrams in the development, configuration an integration of cloud systems such AWS.• Working experience in DevOps operation such as CI & CD approach and implementing the JIRA defect management tool.• Working experience in the Machine learning services such as sage maker on AWS and later deploying the ML model.• Preparing and maintaining procedures and documentation for Cloud network inventory, and recording diagnosis and resolution of cloud network faults, enhancements and modifications to networks, and maintenance instructions.• POC & Customer demo support.• Experience of DevOps Ci/CD to include technologies such as Ansible, Jenkins/Puppet Performing pilot testing, Integration, Verification & Validation of Cloud infrastructure features.• Managing all server operations including monitoring, scaling, security, and reliability over AWS, • Integration of the cloud platform with the Machine learning services of the AWS.• Selecting the Machine learning model for the data predictions.• Customizing the algorithms with the development and deploying to production using Machine learning services.• Creating and managing Docker Environment and deploying the Microservices.• Creation of Catalog files for the existing components like zookeeper, Cassandra, RabbitMq, Kafka etc for the Docker Rancher.• Complete automation of Docker with Jenkins and Git Hub.• Git hub, Docker Hub, AWS ECS, Nexus Repository management.• Deployment, automation, monitoring and operational aspects of Web Applications based on enterprise Java/J2EE, Node.JS, AngularJS, environments

Responsible for the overall end-to-end solution delivery of the IT & Cloud products.Installation and deployment of various Software applications on virtual and cloud infrastructure .Integration with the Network nodes, End to End testing the service chaining functionality of the telco cloud products.

Worked as Deployment Engineer,responsible for Installation and Integration of WAP gateway on Linux and Solaris Platform for the DMPI operator Philippines.

Worked on Alcatel-Lucent VAS and Packet core services interacting with MSC & other network entities. VAS services include IPTV , MMSC and SMSC .Platform Linux .