Implemented Generative AI based advanced RAG model for the development of Data Lineage by tapping into various data sources throughout the Data Mesh architecture of JPMorgan Chase & Co.Optimised the end to end lineage retrieval process by incorporating the data into knowledge graph database and providing a natural language conversational querying agent.

Face Detection and Hair Segmentation:Leveraging the power of OpenCV for robust face detection, integrated cutting-edge deep learning models, DeepLabv3 and ResNet-50, to achieve highly precise hair segmentation. By employing dilated convolutions and Atrous Spatial Pyramid Pooling (ASPP) in DeepLabv3, I effectively captured multi-scale context information for superior segmentation results. Additionally, I harnessed the strength of ResNet-50's bottleneck architecture and pre-trained weights to optimize the performance of the overall solution.

ML Team @ GDSC : I orchestrate dynamic workshops in machine learning, driving skill enhancement within our student body. My commitment lies in nurturing a thriving community of ML developers through immersive learning experiences, fostering collaborative innovation and expertise in this cutting-edge field.

Teaching Assistant for course CSF111 (Computer Programming)

Mentor for the course Probability and Statistics