Keerthana Manoharan
Scrum Master at Comcast
Chennai, Tamil Nadu, India
Summary
🤩
Rockstar🎓
Top SchoolKeerthana Manoharan is a Scrum Master and former hybrid/native mobile developer with 7 years of experience building and delivering mobile products from Android to cross-platform stacks. Based in Chennai, she has progressed from hands-on Android engineering to development roles and now leads agile delivery at Comcast, combining technical depth with team facilitation. Her open-source contributions include meaningful refactors to Microsoft’s widely used AdaptiveCards project, improving layout and rendering logic—evidence of her ability to optimize core back-end pipelines as well as front-end experiences. Keerthana holds an MCA from the University of Madras and has a track record of shipping production mobile apps at startups and mid-size firms. She blends practical coding experience with servant leadership, helping teams translate product needs into reliable releases. Colleagues describe her as a detail-oriented practitioner who surfaces technical improvements that reduce downstream complexity.
7 years of coding experience
10 years of employment as a software developer
Master of Computer Applications - MCA Computer Science, Master of Computer Applications - MCA Computer Science at University of Madras
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
computer-vision10
adaptive-cards10
python10
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (4)
Github contributions (5)
microsoft/AdaptiveCards
Jul 2020 - Jun 2021
A new way for developers to exchange card content in a common and consistent way.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 11 commits, 23 PRs in 11 months
Contributions summary:Keerthana primarily focused on refactoring and optimizing code related to the `mystique` module within the `microsoft/adaptivecards` repository. They made significant changes to the layout structuring, column merging, and image grouping processes, likely improving the card generation pipeline's efficiency. They also introduced dynamic thresholds for font weights and made iterative improvements to various card layout generation components. These changes indicate a focus on improving the core logic used to render and structure the adaptive cards.
exchangeadaptiveioswpfadaptivecards
Keerthana786/Pramati
Sep 2018 - Jan 2019
Contributions:123 pushes, 1 branch in 4 months
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