Engineering Feedback Intelligence Platform

Roles: Backend Engineer, DevOps Engineer, Frontend Engineer, Full-Stack Engineer, Machine Learning Engineer

Technologies: React, TypeScript, GraphQL, Apollo, NestJS, RabbitMQ, AWS Fargate, AWS SageMaker

ScatterSpoke, a leader in software engineering feedback analytics, underwent a transformative upgrade to handle millions of daily requests with greater efficiency. The project encompassed significant enhancements in both frontend and backend architectures, leveraging modern technologies and scalable service models to meet and exceed operational and user experience benchmarks.

Objective: Enhance client-server interactions and reduce backend load.

Actions: Transitioned from traditional REST APIs to a GraphQL-based approach using Apollo, optimizing data fetching and reducing over-fetching and under-fetching issues.

Outcome: Improved responsiveness and reduced backend load, enabling effective scaling and a superior user experience.

Objective: Build a scalable and robust backend to support a high volume of concurrent users.

Actions: Designed and led the development of over 20 microservices using NestJS, orchestrated through RabbitMQ, and deployed on AWS Fargate for seamless scalability and management.

Outcome: Achieved a resilient and flexible architecture that supports high availability and dynamic scaling, facilitating smooth and uninterrupted user interactions.

Objective: Leverage machine learning to enhance analytical capabilities and offer deeper insights into software engineering feedback.

Actions: Implemented and deployed multiple machine learning models using AWS SageMaker, integrating them into the platform's data processing pipelines to analyze and predict trends and patterns in engineering feedback effectively.

Outcome: Enhanced the platform's intelligence, providing users with actionable insights and significantly increasing the value of the feedback analysis.

Objective: Align the frontend architecture with backend advancements and modernize the user interface.

Actions: Rebuilt the frontend using React, integrating seamlessly with the GraphQL services to ensure efficient real-time data handling.

Outcome: Delivered a highly interactive and responsive user interface, which improved user engagement and satisfaction.

The revitalization of the ScatterSpoke platform not only streamlined operational efficiencies but also enriched the user experience with advanced analytical tools powered by machine learning. These innovations have positioned ScatterSpoke as a cutting-edge platform capable of delivering sophisticated insights and supporting continuous improvement in software engineering practices. The project demonstrated my ability to lead complex technical upgrades and innovate under pressure, making a substantial impact on the company’s product offering and customer satisfaction.