Visit: https://www.lighthouse.storage/, involved in- Development of backend and integrations with frontend.- Dev support and client integrations.- Giving talks at event and explaining product to clients and developers.- Deployment and production pipeline development.- Getting the specs ready for team to use.

visit: http://www.icdrive.co - First team to receive developer grants from Dfinity to develop fully decentralized cloud storage application. - The entire project and smart contracts are open source: https://github.com/IC-Drive/ic-drive - The user alone has access to data he stores and the power to detach his storage from icdrive and keep using it as a standalone application. - Users can import their data from dropbox and google drive to our platform. - Files can also be… Show more visit: http://www.icdrive.co - First team to receive developer grants from Dfinity to develop fully decentralized cloud storage application. - The entire project and smart contracts are open source: https://github.com/IC-Drive/ic-drive - The user alone has access to data he stores and the power to detach his storage from icdrive and keep using it as a standalone application. - Users can import their data from dropbox and google drive to our platform. - Files can also be made public and shared in a p2p manner. - Login is based on internet identity which is by far the most secure and privacy-oriented authentication system without the need for any password. Show less

Development of insurance management desktop app. The software manages the database of customers, grievances with added growth analytics.

U​sed semantic segmentation to segment text and graphics, text, and table from scanned pages. A lot of experimentation done studying the impact of preprocessing techniques on the performance of thenetwork and useful observations were derived. Created a model that outperformed state of the artaccuracy in the ICDAR 2019 table segmentation dataset with an F1 score of 96.57.

-Developed a program to find a specific pattern in the data set and then to determine the occurrence of a specific event using the identified patterns. The task was accomplished using K-means clustering. -Developed program to identify luggage in CCTV footage using Tensorflow object detection API. The model was up to 99% accurate.