Mrunmai Patil

Experienced Product Manager, previously at NVIDIA, specializing in AI and web applications. An Engineer's Degree holder from the University of Pune, I bring six years of expertise in diverse roles, showcasing proficiency in product management, strategic thinking, and full-stack development. My passion lies in pushing boundaries, solving complex problems, and adapting quickly to evolving technologies.

Product Manager | NVIDIA Corporation

• Developed Operational Excellence Strategy for IT, focusing on design thinking and GDPR compliance.
• Led the implementation of Facial Recognition on EdgeAI, enhancing employee security.
• Spearheaded NVBot, an Enterprise AI-enabled Chatbot, and contributed to Employee Technical Support Kiosk MVP.
• Guided IT Product Strategy initiatives, emphasizing Observability using DataDog and Site Reliability Engineering.

Relevant Projects

• Observability for SRE
  • Monitoring/DataDog Best Practices
• Employee Productivity and Product Management Platforms
  • NVBot ideation, design, testing, monitoring
  • aha.io, Jira, Confluence sync process setup
• Contactless Access Control - Facial Recognition Entry
  • Requirements gathering, Data Protection Impact Assessment
  • Enterprise Integrations, Data Localization for GDPR

DevOps Engineer | NVIDIA Corporation

• Formulated comprehensive monitoring strategies for DevOps SRE in the IT department.
• Led automation efforts in Microsoft Azure, reducing costs by $2000/month.
• Specialized in Cloud Foundation and Operations, deploying IaaS and PaaS solutions in Microsoft Azure.
• Managed asset management initiatives for cloud environments, including AWS and Azure.

Relevant Projects

• Migrate applications to Azure IaaS
  • Golden Image, Scripted Server Setup - PowerShell, SOX Monitoring
• Cloud Governance
  • Azure Automation Account, Automated tagging and cleanup, Cost Optimization
• Binary Artifact Management - JFrog Artifactory
  • Setup DataDog Monitoring on Kubernetes Cluster, Deploy JFrog Suite through Rancher Kubernetes

Bachelor of Computer Engineering

• Research projects on Disease Infested Crop Identification using Deep Learning and Artistic Rendering using Computer Vision.
• Relevant coursework in Operations Research, Human-Computer Interaction, Web Technology, and more.