Currently working on deploying AI models in the cloud that provide automatic diagnosis based on MRI scans and helps radiologists make better descisions
Integrated AI algorithms for detecting tissue atrophy and identifying lesions from Brain MRI scans. The algorithms were deployed using Docker and Kubernetes on Azure Cloud.
Developed visually appealing PDF report that physicians use to share algorithm diagnosis and findings with patients.
Reduced time taken by physician for diagnosis by providing medical image results in multiple orientations.
Reduced failure of integration tests due to infrastructure problems from 80% to 5%. This allowed us to run integration tests after nightly builds and identify issues more quickly.
Worked on the Data Consistency team to implement a system in Java to block tables in the replication service for Hive Tables.
Set up a single source of information for blocked tables using SQL
Designed a CLI tool and web interface that used gRPC to modify this blacklist.
GPA: 8.52
12th Grade Result: 92.8%
10th Grade Result: CGPA 10
Languages
C# · Python · Java · C++Technologies
Azure · Kubernetes · Docker · Git · Linux