Orchestrated data between 6 microservices and front end by developing Graphql APIs using Node.js

Reduced cost heavy API calls by 40% by caching data using Redis

Achieved 95% code coverage implementing unit and integration testing

Engineered robust APIs in JavaScript utilizing BullMQ and Redis to enable ad-hoc job retries, resulting in improvement in job success rates

Automated 60% manual work by designing and developing a resilient supply chain management software connecting farmers and stores using microservices in Node.js, Docker, Azure Container Registry, Kubernetes, Websocket, React, MongoDB.

Implemented reusable component libraries with React, TypeScript, and Storybook, reducing UI development time by 10% across teams.

Conducted workshops for 50 grad students, aiding their understanding of complex concepts and projects in OOP languages.

Mentored 40 graduate students in navigating challenging software engineering aspects of the projects.

Served as Full-Stack software engineer to construct tool to forecast impact created by 4 elements - drug, disease, company, and country on global health index using Python, which helped reduce 2 man-hours per day for predictive analysis done manually.

Built REST APIs over MySQL database to enable the tool to retrieve data.

Enhanced organization website by adding analytical dashboards representing drugs helping against diseases in last few years.