Mr. Repala Lava Kumar
Redmond,WA
Summary
Expert in managing and automating Azure infrastructure, including virtual machines (VMs), virtual networks (VNets), network security groups (NSGs), and resource groups.
Developed automated ML pipelines using Azure ML SDK, integrating them into CI/CD workflows via Azure DevOps and GitHub Actions, accelerating model deployment cycles.
Led incident response efforts, root cause analysis (RCA), and postmortems for ML/SDK-related production issues, driving continuous reliability improvements.
Integrated secure deployment practices with Azure Key Vault, Managed Identity, and Private Endpoints, enforcing RBAC, data encryption, and endpoint protection for ML/AI infrastructure.
Developed and deployed backend APIs using Python (FastAPI, Flask) and Node.js, integrating them with ML inference endpoints and cloud-native services.
Designed frontend dashboards and admin UIs using React and Angular, enabling interactive ML monitoring and admin control panels.
Built Power BI dashboards with RLS, DAX, and automated refresh strategies through Azure Automation and Dataflows, delivering real-time business insights.
Automated infrastructure management with PowerShell, Azure CLI, and Python, reducing manual overhead and increasing provisioning speed.
Monitored system health and performance via Azure Monitor, Log Analytics, Application Insights, and custom dashboards, enabling real-time issue detection and alerting.
Streamlined release and deployment processes for SDK models, integrating versioning, testing, and rollout gates into CI/CD pipelines.
Collaborated with stakeholders across geographies, leading sync-up calls with onsite/offshore teams and managing deliverables across sprints and releases.
Delivered project reporting, including weekly/bi-weekly status updates, Monthly Business Reviews (MBRs), and Quarterly Business Reviews (QBRs), ensuring transparency and alignment with business goals.
Reduced Azure cloud spends by implementing autoscaling, usage analysis, and automated cleanup of unused resources in coordination with cross-functional teams.
Established ITIL-aligned support processes, executing best practices in Incident, Change, and Problem Management via ICM and Azure Boards.
Overview
1
1
Certification
Skills
- Azure
- Azure Data factories
- Kubernetes
- Windows Server 2008
- 2008R2
- 2012R2
- MS SQL Server 2008
- 2012
- Azure SQL
- IIS
- SQL Database Administrator
- Support Analyst
- TSQL
- SSIS
- SSRS
- Visual Studio
Projects
- Azure ML, Microsoft Corporation-Hyderabad, Dev Ops & SRE, Tech Mahindra Pvt Ltd, USA, USA, 07/01/25 – Present, Azure ML: Azureml-core Python package, which provides the core functionality of Azure Machine Learning. It allows developers and data scientists to programmatically manage Azure ML resources and workflows. With azureml-core, you can create and manage workspaces, experiments, and training runs, as well as submit jobs and access logs and outputs. It supports the management of computing targets and resources required for model training and deployment. The package also enables registration and deployment of models, creation of images and web services, and offers modules for handling data through Azure ML Datastores and Datasets. Additionally, it includes exception classes for better error handling and modules used internally to prepare remote environments for scalable execution. This project leverages these capabilities to build, train, and deploy machine learning models efficiently on Azure., Engineered automated machine learning (AutoML) pipelines using the Azure ML SDK, fully integrated into CI/CD workflows via Azure DevOps YAML pipelines and GitHub Actions, significantly accelerating model retraining and deployment cycles., Led end-to-end incident management, including triage, root cause analysis (RCA), and retrospective postmortems for production-grade ML/SDK systems, driving improvements in system reliability, observability, and fault tolerance., Implemented secure-by-design deployment architectures using Azure Key Vault, Managed Identity, and Private Endpoints; enforced enterprise-grade RBAC, encryption at rest/in transit, and threat protection for ML model serving infrastructure., Designed and deployed RESTful APIs and inference interfaces using Python (FastAPI, Flask) and Node.js, with integrated support for asynchronous execution, authentication, and scaling via Azure App Services and Kubernetes., Developed dynamic frontend dashboards and administration panels using React.js and Angular, tightly coupled with ML inference endpoints and telemetry APIs to enable real-time monitoring, model governance, and user control., Delivered enterprise Power BI solutions using DAX measures, and automated refresh orchestration with Azure Dataflows, Logic Apps, and Automation Runbooks to support near-time decisioning., Automated infrastructure provisioning and lifecycle operations using infrastructure-as-code patterns with PowerShell, Azure CLI, ARM templates, and Python scripts, reducing environment setup time and configuration drift., Established robust observability frameworks using Azure Monitor, Log Analytics, and Application Insights, including custom metrics and Kusto Query Language (KQL)-based dashboards for proactive anomaly detection and alerting., Built end-to-end release automation for ML SDK and model artifacts, incorporating semantic versioning, regression testing, and gated deployments through Azure DevOps pipelines., Led multi-region cross-functional coordination, facilitating sprint planning, backlog grooming, and execution tracking across onsite-offshore teams through Azure Boards, ensuring timely delivery and alignment with technical milestones., Produced executive-level project reporting, including status updates, KPIs, and delivery metrics for MBRs and QBRs, aligning engineering progress with strategic business objectives., Optimized Azure cloud expenditures by implementing autoscaling policies, usage telemetry analysis, and automated cleanup routines for idle or orphaned resources, resulting in measurable cost reductions., Established ITIL-compliant operational frameworks for Incident, Change, and Problem Management using Azure Boards, ICM workflows, and standardized service health procedures to ensure SLA adherence and operational excellence.
- Amplify- Sensei, Microsoft Corporation-Hyderabad, SRE, Tech Mahindra Pvt Ltd, India, Hyderabad, 01/01/22 – 06/01/25, Amplify-Sensei Sensei is portal-based report generating user friendly tool to analyze all Microsoft products and their usage on Web. To generate customized and filtered reports to analyze end user reported feedback in positive and negative clusters and to analyze the impact of the build releases given in couple of periods. As part of this project, we expect customer-friendly interfaces to be built incl. programmatic REST endpoints and a website that will provide scalable and fully supported ways for our partners both internal and external, to interrogate our dataset for NPS, IMEU and other key metrics., Configuring and managing Azure Kubernetes Services (AKS) clusters (UAT & PROD)., Responsible for deploying, monitoring, and managing IAAS and PAAS resources in Azure cloud environments., Performing vulnerability assessment and remediation; Implement and track compliance and configuration baselines., Migrating applications from one subscription to another to isolate production and pre-production environments., CI/CD Configuration for azure deployments, Cloud services, WebApp, Azure Functions., Monitoring Azure infrastructure utilization and optimizing or reclamation of azure resources., Collaborating with engineering teams in CICD deployments and working with them in case of any issues., Participating in daily stand-up, grooming meetings to estimate and pick up relevant user stories/Tasks., Analyzing and troubleshooting ongoing issues and coordinating with different teams to resolve the Major Incidents., Hands on experience on Backup and restore Azure services., Experience with Azure Data factory, Azure Functions, and Azure solutions., Experience in generating reports using Power BI desktop., Experience with Power BI in converting data processing into analytics and reports that provide real-time insights., Managing the Windows Azure infrastructure for our customers depends on their requirements., Worked on Microsoft Azure Storage - Storage accounts, blob storage, managed and unmanaged storage., Worked in Azure Data Factory, Application Services, Application Insights, Azure Automation, etc., Managing Services and Servers on PaaS and IaaS., Implemented Azure Automation Update Management to manage updates and patches for the VMs., Identifying and configuring Azure alerts for service failures through Log Analytics.
- CFE-royalties, Microsoft Corporation-Hyderabad, L3- Support Analyst, Tech Mahindra Pvt Ltd, India, Hyderabad, 06/01/18 – 12/01/21, CFE (Corporate Functions Engineering) is one of the critical projects in Microsoft Projects which deals with the finance applications used by Microsoft employees, vendors, Suppliers. The CFE team responsibility lies with performing technical feasibility assessment, preparing upgradation/migration plan, test, deploy, support, and maintain the same. Any issue arising out of new deployment or upgradation/migration also needs to be fixed by the Operations team and stabilize the environment. This team is also responsible for establishing effective Problem Management within the system to handle all sorts of challenges proactively., Working on Azure portal to configure/maintain IAAS /PAAS VM’S., Trouble shoot any data issues using azure storage explorer., Analyzing the customer issues in production, providing resolutions based on the issue in both technical and business perspective., Trouble shooting database problems., Configuring Always On, restoring always on with zero down time., Administration and maintenance of MS SQL databases hosted on Corporate Data Center servers., Managing SQL Server Security, Managing Database Permissions., Resolving the issues related to SQL server, Windows server & IIS in stipulated time depending on the priority of the issue., Handle customer queries and help resolve the issues raised during implementation., Communicating and interacting on a regular basis with the development team during different stages of the project., Monitor SQL server performance using profiler to find performance and dead locks and blockings., Create Database roles, Logins and assign permissions as per business requirement., Monitoring and maintaining the SQL jobs running on various servers., Backup and Restore the Databases., Performing Monthly patching activity to ensure all the servers are compliant with respect to Patching Compliance.
- MPSIT, Microsoft Corporation-Hyderabad, L3- Support Analyst, Tech Mahindra Pvt Ltd, India, Hyderabad, 06/01/14 – 12/01/18, MSEG (Microsoft Support Engineering Group) which is part of UST (Universal Store) Group is a Microsoft business unit that oversees Support Knowledge Platform & Insights (SKPI). As part of support offering to Microsoft, this project supports more than 25 different Microsoft applications in SKPI involving various technologies. MSEG Support is a Production Support team which provides various support deliverables for Microsoft Customers worldwide. Metrics are captured for trend analysis and further improvement of quality., Installed & configured database software, associated database tools and performance monitoring software., Implemented & managed database clustering, failover, and load balance technologies as per client requirement., Conducted root cause and analysis for database incidents and problems., Monitored the database server performance and if required go for tuning of the TSQL queries, Stored procedures etc., Co-ordinate with the release manager on upcoming releases on applications., Co-ordinate with Service management, Development team, test team during issues in deploying builds., Communicate the release calendar to the customer and other users of the application., Participate in review meetings and prepare game plans for release in Test, Dev, Pre-production and production environment., Create Database roles, Logins and assign permissions as per business requirement., Monitoring and maintaining the SQL jobs running on various servers., It is a Relationship Experience Division for Customer Services Support., Technical focus on this project for solving the issue raised in all applications of Microsoft and fixing the issues., Involved in debugging, IIS issues and SQL issues. I have interacted with Clients for the solving the application issue., Monitored the database server performance and if required go for tuning of the TSQL queries, Stored procedures etc., Resolving the issues within the SLA. Understanding the issue in a quick manner and investigating the issues and providing the updates to customers timely., Proactively checking the applications and taking necessary action on the issues before SE escalation and any business impact.
Visa Valid
05/01/26
Certification
- Microsoft Certified Professions in Microsoft Azure Fundamentals
- Microsoft Certified Professions in Microsoft Azure Administrator
Employment Summary - Experience
- Tech Mahindra, Devops Engineer, 06/01/14 -- Present
- Soft Sol, Database Administrator, 01/01/10 -- 06/01/14
Personal Information
Visa: H1B