Software Engineer

Working on implementing optimizaing complex transportation problems by developing and implementing end-to-end workflows. Working on engineering solutions for Truck Load and Planning Optimization, orchestrating Apache Airflow DAGs, integrating Spark jobs, and leveraging the Google Cloud Platform (GCP). Also working on implementing multi-tenancy for deploying the product in multiple markets across the world.

Research Intern

Worked under the supervision of Pavan Kumar Chittimalli, on the extraction of information and relations from large Entity-Relation (ER) images using deep learning techniques. My research spanned a diverse set of approaches, including heuristic-based image processing, object detection frameworks, and cutting-edge language models with prompt engineering aiming to optimize the accuracy and efficiency of information extraction in complex ER visualizations.

Student Researcher

Worked under the supervision of Prof. Ashwin Srinivasan, Prof. Erik Meijering, Prof. Tanmay Verlekar, Prof. Manik Gupta, on segmentation of real time endoscopic footage (Hyper Kvasir dataset) and classification of skin diseases (HAM1000 dataset) using Deep Learning. Our main focus was to have computationally efficient models and deploy them on edge devices.

Machine Learning Research Intern

Worked under under the supervision of Dr. Dhiraj Sangwan on digital restoration of ancient Indian wall paintings using deep learning techniques. Devised an end to end pipeline, including creating a dataset of artificially damaged wall paintings, segmenting the damaged regions in the paintings and using inpainting techniques to restore them.