Driver of development process both independently & collaboratively - prioritized maximal-value features, conducted user interviews, & fully conceived user stories from vague product specs.

Engineering contributions include: Revised data models & Cube queries to support custom user needs; Building UI components that would ease integrating the features into all pages of the app, contributing to the codebase UI library that other engineers used; Implementing entirely new logic to allow users to view their cloud financial data and track their spending issues.

Optimized accessibility recommendations for production application to 90+ Lighthouse scoring

Utilized a TDD approach with Jest and Enzyme to ensure code coverage

Integrated CircleCI into Git Feature Branch Workflow to check consistency between pull requests

Reduced initial query speed from 4000ms to 7ms (-99.825%) by indexing and processing data on Node levels to return data in client’s anticipated shape- nested JSON objects

Scaled and stress-tested the system locally under 1000+ rps using K6/New Relic to simulate production traffic to identify bottlenecks which reduced latency to 129ms per HTTP request with 0% error rate

Deployed two isolated MySQL database and Node server AWS EC2 instances to increase overall performance with scalability and CPU usage

Facilitated client correspondence, standup meetings, and collaboration efforts of team of 7 engineers, adopting Agile methodology and Trello ticket system

Implemented a Google Maps API displaying issue markers within 5-mile radius of current or entered location, each clickable for its details persisted in MySQL database