Kapil Dhanger
Director Chief AI Solution Architect at Microsoft
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolKapil Dhanger is a Director and Chief AI Solution Architect with eight years of focused experience building AI, ML, and cloud-native analytics solutions across enterprise environments. Currently at Microsoft, he combines hands-on architecture with strategic digital transformation experience gained at Slalom, IBM, and TCS to help organizations unlock hidden insights and operationalize generative AI. He holds advanced training in Data Science and Machine Learning from George Washington University and a BE in Computer Science, blending rigorous academic grounding with pragmatic delivery. Known for translating complex data platforms into commercially impactful products, Kapil emphasizes scalable cloud architecture and responsible AI adoption. An interesting detail: he has steadily moved from BI leadership into strategic AI architecture, reflecting a practitioner-first transition from reporting to production-grade ML systems.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Maharshi Dayanand UniversityData Science and Machine learning, Data Science and Machine learning at The George Washington University - College of Professional Studies
English
Github Skills (27)
architecture10
fabric10
azure10
documentation10
microsoft9
azure-architecture9
dataops8
microsoft-azure8
mlops-project8
mlops-workflow7
devops7
data-platform7
cicd7
databricks7
command-line-interface7
Programming languages (7)
Github contributions (5)
dhangerkapil/azure-openai
Apr 2023 - May 2025
Contributions:37 pushes, 1 branch in 2 years 1 month
dhangerkapil/MLOpsTemplate
Apr 2022 - Oct 2022
Providing tools and templates to facilitate modern MLOps practices
Contributions:9 PRs, 18 pushes, 1 branch in 6 months
devopsdockermachine-learningmlopskubernetes
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