As part of the inaugural class of MLH Fellows, I contributed to Open Source projects with a team of Fellows under the educational mentorship of a professional software engineer.

• Keras Library: Accomplished dataset visualizations by training LSTM model for time-series dataset API, utilizing Python, Tensorflow,

Keras and Jupyter. It was adopted as an example by Keras for the website.

• BentoML: Engineered a unified storage service for bundle files and metadata of machine learning models, to enable support across

different cloud platforms such as AWS S3, Google Cloud, and Azure, lead to efficient utilization of local instance' secondary memory in

Python.

• Design and development of a scalable unified platform to facilitate inventory management for hospital pharmacies. Solved warehousing issues for a multi-specialty medical institute such as Medanta Hospital, resulting in a reduction of time between placing an order and delivery of medicine by 13.6%.

• Managed a team of three engineers for system optimization, test suite integration and standard reinforcement using Jenkins, Chai.js, and Mocha.js, reducing deployment issues substantially.

• Facilitated use of interactive webviews, to fasten product development and increase understanding of user behavior, resulting in a rise in sale of diabetes care plan.

• Guided development of a mobile app for cloud-based sales CRM for GrowthFactorCRM, accomplishing a 200% rise in user engagement metrics.

• Delivered elegant mobile solution for ticketing platform for London football clubs, lowering ticket verification time at stadium entrance by 80%.

• Architected cloud-based messaging backend restful API for New York startup. Shipped an elegant solution with continuous integration and continuous deployment solution based on Node.js.