Worked on Video Instance Segmentation with Transformers. The main contributions are as follows.

• Proposed the multi-scale spatio-temporal split attention for transformer encoder.
• Introduced Adversarial loss for better foreground -background separability between foreground instances and background.

Worked on Machine Learning and Deep Learning Solutions for AI powered Kitchen Assistant. following are the main contributions :

• Worked on Recipe Scraping Service (Get the recipe content for given recipe url). The project includes data scraping, data cleaning, classification and association. Technology used are django, flask, tensorflow, pytorch, mongodb, sqlite3 etc.
• Design and Developement of Recipe Tagging API. The project includes categorization of recipe content into known categories such as keto, vegan etc. Technologies used are tensorflow, pytorch, flask etc.

Image to Image Translation with Generative Adversarial Networks.

I am graduated in Computer Science and Engineering from Shri Guru Govind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, India 431606.