Anudeep Prakash Mandla

Engineered intelligent applications using Azure AI and Cognitive Services for real-time decision-making and automation.
Designed and deployed machine learning models on Azure to enhance operational workflows and efficiency.
Partnered with cross-functional teams to deliver secure, scalable, and cost-effective AI solutions.
Implemented CI/CD pipelines and containerized deployments using Docker and Kubernetes to streamline development.
Enforced cloud security best practices, data governance policies, and compliance standards in AI/ML environments.
Monitored and fine-tuned production AI systems to maximize performance, accuracy, and reliability.
Kept up with emerging trends in AI, machine learning, and IoT technologies to drive ongoing innovation.
Provided tier-2/3 support for Azure OpenAI customers, troubleshooting GPT models, API calls, and integration issues.
Collaborated with engineering teams to escalate unresolved issues and suggest improvements for AI models and APIs.
Developed automation tools and scripts using Python and PowerShell to improve diagnostic and support efficiency.
Analyzed Azure performance metrics to ensure high availability and service optimization.
Assisted clients with AI model fine-tuning, and shared best practices for deploying AI-driven solutions.
Authored and maintained technical documentation, knowledge base articles, and training materials for internal and external teams.

Worked with source control management systems such as Git, and a strong understanding of Git branching strategies and workflows.
Experience working in systems administration skills for virtual servers operating on Windows, UNIX-like systems, etc.
Deep expertise in Windows shell scripting (cmd).

Worked with CI server/orchestration products, such as Jenkins, to automate software delivery and incorporate disparate pieces of software delivery pipelines.

Worked with DBMS systems like PostgreSQL as they relate to application development.
Automated configuration management using tools such as Ansible.
Utilized build scripting tools, including Maven, for efficient project management.
Managed middleware and application servers, particularly Tomcat, to ensure optimal performance.
Streamlined local development environments through automation with Vagrant.
Supported cross-functional teams in establishing CI/CD pipelines, and troubleshooting issues.
Making sure that platforms, systems, and services are always available to the customers by prioritizing the reliability work based on SLOs, SLAs, SLIs, observability, etc.
Create featured development release branches in Git for different applications to support releases and CI builds.
Deploy the Java applications into a web application server, like Apache.
Maintain SonarQube, NexusIQ (OSS), and HP Fortify tools to generate the reports of code quality and security.
Installed the Nexus repository tool to maintain the artifacts.
Create Jira workflows for the automation of the CR (Change Request) process.
Coordinating the resources by working closely with Project Managers for release and all the Operational Projects.

Administered Continuous Integration tools, including Jenkins and Octopus, to enhance deployment efficiency.
Utilized source code and configuration management solutions, such as Azure DevOps and Git, for streamlined version control.
Managed JIRA ticketing system effectively to support ITIL processes and ticket resolution.
Supported networking devices, including load balancers, ensuring optimal performance and reliability.
Executed installation of operating systems, software packages, and patches to maintain system integrity.
Maintained user accounts while conducting performance tuning and troubleshooting across various levels.
Implemented strategies for performance optimization, contributing to overall system stability.

Maintained highest standards of monitoring and security for application teams in cloud infrastructure.
Facilitated creation of on-premises and cloud infrastructure by adhering to best practices.
Resolved technical dependencies and security issues through ongoing technical support.
Collaborated with cloud security and network teams to address network and infrastructure-related challenges.
Monitored alarms and managed trouble tickets for customer complaints in 24/7 NOC environment.