India tech lead for recently launched AWS Amazon One Enterprise.

- Worked on backend side of Corkboard project which aims at connecting the sellers who wish to sell globally with the right solution providers according to the requirements of the sellers. I wrote all the APIs and data store library which interacted with Amazon Dynamo DB. I was also involved in the data store schema design and suggested some useful inputs which helped in achieving a generic design over different services/categories like Translation, taxation etc.Also worked on making the search results page responsive across all resolutions.Link : services.amazon.com/solution-providers/- Also worked on migration of control panel forms in Webstore from Manaus and ExtJs Stack to the new Amazon SimpleStack. Here i was responsible for designing the DOM of the forms from scratch and writing validations, angular controllers and directives for the forms.Technologies used : AngularJS, Jquery, Html, Css, Restful Web services, REST APIs, DynamoDB and JAVA.Later, after the internship i was offered full-time opportunity at Amazon.

Created Machine Learning models to predict protein-protein interaction in organisms like Pseudomonas, Burkholderia and Haemophilus influenza in order to predict the right drug to kill the organism. The idea is to develop a protein-protein network through which the most interacting proteins can be targeted. Extended the internship project as Major Project by including structural and sequential features of proteins as they play more important role in interaction. Further we planned to do feature minimization and feature ranking to out-rule unnecessary features.

Part of core development team at Wibe. Worked mainly on the backend of the product from scratch which involved fetching and suggesting appropriate YouTube videos for the corresponding content of Wikipedia page.Wibe got 12.5 lakhs funding from TLabs Noida.