Developed course websites for the MCDS courses (Master of Computational Data Science). Course websites were developed with simplicity and ease of setup in mind.

Helped develop course materials and primers for the MCDS capstone planning course. Much of the work was to adapt core software engineering principles from the MSE program (which I am a student of), into easy to understand primers. The primary goal was to incorporate concepts like software requirements, architecture and planning into the MCDS capstone process.

- Directly managed a team of 3 developers and 2 QA specialists.- Responsible for full-stack feature development and lifecyle ownership of all Product Categoryinformation on the Myntra Fashion App.- Guided a newly formed team towards adopting the a new engineering structure, resulting in an uptick of team velocity.

- Built approximately 20 experiments (A/B testing features) on the Myntra Storefront platform, which involved building UI/UX in ReactJS, with supporting changes in a Golang backend system.5 of the 20 features were successful, contributing approximately $10 million in revenue YoY over 2 years.- Led the development effort of Online Brand Store (OBS), alongwith a team of 2 junior developers, who I directly managed, within a span of 3 months. The feature was critical to onboarding 15 marquee fashion brands including H&M and Nike onto the Myntra platform, and was a major revenue driver for Myntra during the pandemic.

- Worked on full-stack solutions on the ShareFile platform, and later, in the Brand Personalization Team.- In Sharefile, I built connectors to integrate Sharefile workflows with third party tools like Salesforceusing React Js and .NET Core.- In the Brand Personalization Team, I built automated pipelines with Azure Devops and node.js, whichallowed Citrix customers to create white labeled versions of Citrix mobile applications like CitrixSecureMail.- My work on Brand Personalization systems supported white labeling of both Android and iOS apps.

- Mentored a team of fresh graduates and oversaw the build and delivery of high-stake projects.- Led the development of the Image Self Serve (ISS) system, an automated image processing pipeline using Kafka that supported hot-swappable algorithms for custom-built image processing. This system was specifically deployed to aid in standardizing images for products uploaded by vendors. - ISS could process 4-8 million images per day, helping the vendor onboarding team save 75% of onboarding costs MoM post deployment.

- As a research engineer and early member in the newly formed team, I was tasked with converting bespoke Computer Vision solutions into systems and services for internal use. Some examples are automatic categorization and duplicate detection for the categorization team, search fashion products by user uploaded image for the Snapdeal app.- Built findmystyle.in, a (now defunct) product showcase website, where we demonstrated the power of our machine learning and computer vision capabilities at scale by creating cool interactive fashion tools like Search fashion products by patterns and colors, Outfit of the Day.- Built the technology stack and tooling for the team. Most of the platform specific decisions made in this phase remained with the team in the next few years.

- As the founding engineer in B2B tour and travel booking startup, I built core infrastructure like the booking system, payment processor platform, an availability calendar system, trip management and many more internal systems.- Full stack engineering effort involved design and build of user interface parts in Angular JS (v1) and Ruby-on-Rails with a focus on modifiability.- Performed database optimization in PostgreSQL by analyzing queries and identifying indexing opportunities.

Marketing research based internship allowing us to learn the nuances of market research, how to conduct a market research and filing a report.