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 (31)
architecture10
fabric10
azure10
documentation10
microsoft9
microsoft-azure9
powerbi9
command-line-interface8
databricks8
dataops8
cicd8
mlops-project7
mlops-workflow7
devops7
azure-cli7
Programming languages (5)
Github contributions (5)
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
dhangerkapil/azure-openai
Apr 2023 - Oct 2023
Contributions:37 pushes, 1 branch in 6 months
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