Hi, this is Manasa.

• Worked on feature building and testing for the Immutable Smartlock Bucket initiative
• Documented customer requirements with senior engineers for efficient development
• Completed the epic ahead of schedule, earning customer praise

• Designed AFA cluster detection feature in SVC tools, enabling real-time tracking of configuration changes across nodes
• Completed migration of ECS/OBS diagnostics reporting tool xDoctor, from Python 2 to Python 3
• Developed full stack data visualization application that displays patterns, spikes and abnormalities in L1 and L2 cache capacity data

• Developed user interface for government-funded nutrition app using Kotlin in Android Studio
• Had the opportunity to handle government classified data in accordance with organizational privacy standards

Performed transcriptome analysis using RNA-seq on human breast cancer cells called MCF-7 to study the effects of chemical exposure against a controlled group of cells.

I built a machine learning model that analyzes thousands of MRI scans across different stages of dementia. Using Convolutional Neural Networks with a 5 fold cross validation, I was able to achieve model accuracy of 92.8%, followed up with verification by a practicing Neurologist.