• Led a team of 4 co-ops for a course of 6 months to deliver calendar reports on the platform's dashboarding capabilities.

• Mentored and coached the co-ops to have them work in a Kanban agile work environment exposing them to the entire SDLC from discussions, designs to production release of the feature and monitoring

• Led a full-time team to work on delivering ML-backed recommendations based on QB history to enable customers to build meaningful applications faster

• Setup python infrastructure in serverless stack to support features that run ML algorithms

• Revamped the UX for the Chart reports on the platform to use modern libraries and process data from APIs to shape them as expected by the library

• Made sure these new improvements were responsive enough to fit within small devices and as widgets to create reporting dashboards.

• Made sure the feature was of quality by writing automated tests around the feature using WebdriverIO, Jest unit testing and JMeter performance testing. Also used Lighthouse chrome extensions to determine performance

• Developing user-friendly table report grid feature for mobile app using React Native and Thunk to discard existing webviews and stitch it in with app flow using switch and stack navigation

• Creating new and modifying existing APIs in C++ for data retrieval to populate feature with pagination implementation and permission settings for CRUD operations as per user or role

• Ensuring quality code by writing tests in Jest and Enzyme for React/React-Native/Node features and Jenkins and Circle CI for build success and deployment

• Designing Page Objects and writing functional, E2E and smoke tests using WebDriverIO(Selenium) for Node and Jasmine framework for validations and tests

• Implemented mobile web preview on desktop browsers using React-Redux-Sagas positively impacting 2500+ users per week testing apps as per user and role permissions settings

• Won in-house hackathon designing a bot exploiting Dialog Flow to perform CRUD operations on product by text and speech and Serverless Lambda functions on AWS for these operations.