Mar 2021 – May 2022 · 1 yr 2 mos · San Francisco Bay Area

Jun 2020 – Aug 2020 · 2 mos

• 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.

Jan 2018 – Jan 2019 · 1 yr · New Delhi Area, India

• 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.

Jan 2017 – Jan 2018 · 1 yr · Delhi

• 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.

Jan 2016 – Jan 2017 · 1 yr

• Spearheaded a team of five engineers for webview framework for the consumer-facing mobile app, resulting in a customizable business intelligence tool for data analytics team. Resulted in a 7% increase in online orders and a 10% increase in user retention.
• Led restaurant data integration with Google search, Bing maps and Apple maps, resulting in a 3% rise in site traffic.
• Collaborated cross-functionally with data scientists, business users, project managers, and other client engineers to achieve elegant solutions to increase quality user experience.

Oct 2015 – Dec 2015 · 2 mos

Jan 2014 – Jan 2014 · 0 mo · Guwahati Area, India

• Developed a simulation-based testbed to predict the amount of energy that is to be generated by the microgrid using the load prediction model.