Project: Microsoft (Azure Data and Intelligence Platform)
I specialize in Azure AI Services, including Azure OpenAI, Azure Machine Learning, and Azure AI Studio. Worked with the implementation and optimization of AI models (LLM, SLM), staying updated on AI advancements.
Resolved 500+ complex issues, enabling effective use of Azure services for automation, NLP, Computer Vision, and ML. Provided timely, precise support and advanced troubleshooting across multiple channels.
I acted as an advisor for clients and strategic partners, handled sensitive and critical cases, and collaborated on complex troubleshooting. Mentored peers, conducted training, and contributed to content and readiness strategies to enhance the developer community and market share.
DevOps Engineer
Digimetrix Technologies
09.2019 - 02.2023
Implemented and Managed CI/CD Pipelines:Created automated build and release environments using Azure DevOps, enhancing deployment efficiency and reliability.
Source Code Management: Implemented branching and merging policies with Azure Git repos, maintaining baseline code and performing regular code merges for integration.
Infrastructure Automation:Developed Python scripts to deploy Virtual Machines, VNets, Subnets, Resource Groups, and Availability Sets, streamlining infrastructure provisioning.
Application Deployment and Monitoring:Deployed applications across all environments (SIT, UAT, PROD) and monitored them using Azure Application Insights, ensuring high availability and performance.
Troubleshooting and Issue Resolution:Troubleshot build and deploy issues, collaborating with development and QA teams to ensure smooth and timely releases.
Education
Bachelors of Technology - Mechanical Engineering
Vignana Bharathi Institute of Technology
Ghatkesar, Hyderabad,India
05.2016
Skills
1 DevOps & Automation
CI/CD: Implementing and managing Continuous Integration and Deployment pipelines
Azure DevOps: Automating build and release environments for reliable deployments
Infrastructure Automation: Python scripting for deploying Azure infrastructure components
2 Cloud Computing & Infrastructure
Cloud Computing: Managing resources and services on Azure platforms
Application Deployment & Monitoring: Deploying applications and ensuring performance with Azure Application Insights
3 AI & Machine Learning
AI Model Implementation: Implementing and optimizing AI models (LLM, SLM)
Azure AI Services: Utilizing Azure AI Studio, OpenAI, and Machine Learning services
4 Programming & Scripting
Python Programming: Scripting and automation with libraries like Pandas, NumPy, and Scikit-learn
API Integration: Integrating REST APIs and SDKs
5 Troubleshooting & Support
Advanced Troubleshooting: Resolving complex issues in Azure services
IT Service Management (ITSM): Applying ITIL processes for incident and problem management
6 Collaboration & Productivity Tools
Client Advisory & Mentoring: Advising clients, mentoring peers, and contributing to community content
Microsoft Office 365 & Dynamics 365: Proficiency in Microsoft productivity and business solutions
Product Cost Engineer at Tech Mahindra Ltd., India & Tech Mahindra (America) Inc. USAProduct Cost Engineer at Tech Mahindra Ltd., India & Tech Mahindra (America) Inc. USA