Vyas Venugopalan
Solution Engineering Leader Cloud & AI Platforms
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolVyas Venugopalan is a Solution Engineering leader and cloud-native technologist with eight years focused on Data, Analytics and AI across Azure, currently leading Cloud & AI Platforms for Public Sector and Education at Microsoft in Melbourne. He blends deep technical credentials (Azure Solution Architect, Data, AI certifications) with commercial leadership, having shaped regional product localization and go-to-market accelerators for ANZ. His background spans hands-on architecture and customer delivery to CTO-level strategy, plus earlier entrepreneurial and FMCG leadership that honed his market-entry and data-driven growth instincts. Notably, he translates complex AI and infrastructure capabilities into practical, scalable programs—publishing guidance like the Citizen AI scenario—and excels at aligning cross-functional partners to drive adoption at scale.
8 years of coding experience
12 years of employment as a software developer
Global Masters in Business Administration, Global Masters in Business Administration at S P Jain School of Global ManagementMaster of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at York University - Schulich School of BusinessMaster’s Degree, Business Analytics, Master’s Degree, Business Analytics at University of Melbourne - Melbourne Business SchoolBachelor of Technology (B.Tech.), Mechanical Engineering, Bachelor of Technology (B.Tech.), Mechanical Engineering at National Institute of Technology Calicut
English, Hindi, Malayalam, Arabic
Github Skills (10)
azure-machine-learning10
mlops-workflow10
azure9
accelerator9
mlops8
code-tools2
machine-learning-models2
machine-learning2
visual-studio-code1
visual-studio1
Programming languages (3)
Github contributions (5)
Azure/carprice-aml-powerapp
Jul 2021 - Oct 2021
Contributions:22 commits, 18 pushes in 2 months
microsoft/azureml-ops-accelerator
Jul 2021 - Aug 2022
Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOps on Azure leveraging Azure ML.
Contributions:6 reviews, 149 commits, 11 PRs in 1 year 1 month
best-practiceleveragingapproachazure-mlmlops
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