Karthik Ramadugu

Software Engineer Intern at CAS

Engineered REST APIs and microservices in Node.js, Express.js, and MongoDB, which cut query response times by 30% for scientific data retrieval. Automated AWS deployments with EC2, Lambda, and S3 while setting up CloudWatch alerts, driving 35% faster release cycles and stable rollouts. Designed CI/CD pipelines through Jenkins and GitHub Actions that supported continuous delivery, ensuring production updates shipped with zero downtime. Improved backend throughput by refining MongoDB queries and layering Redis caching, reducing data delays by 25% under heavy workloads. Partnered with researchers and developers using Jira and Confluence, streamlining sprint planning and boosting velocity by 20%. Strengthened observability through Prometheus metrics and Grafana dashboards, which shortened anomaly detection and cut recovery time by 35%. Built unit and integration suites in Jest and Supertest, lifting test coverage to 85% and reducing post-release issues. Refined service code with ESLint sta

Trainee Software Engineer at FunctionUp

Delivered backend APIs on Node.js and Express.js that handled client requests more efficiently, reducing response latency by 30%. Introduced Mocha and Chai testing frameworks, halving manual QA time while lowering deployment rollbacks by 25%. Configured AWS EC2, RDS, and S3 with load balancing, raising system uptime from 90% to 99.5% during stress scenarios. Produced detailed Swagger/OpenAPI documentation, accelerating developer onboarding and cutting integration issues by 25%. Contributed to Agile ceremonies including sprint reviews and retrospectives, helping the team consistently achieve a 95% sprint completion rate. Automated deployments using GitHub Actions CI/CD workflows, trimming manual work by 40% and reducing release delays. Enabled proactive error handling by setting up CloudWatch alarms and structured logs, which cut downtime by 20%. Rewrote legacy modules with ESLint compliance and modular architecture, enhancing code readability and lowering new engineer ramp-up time by 3

Software Engineer Intern at CAS

Engineered REST APIs and microservices using Node.js, Express.js, and MongoDB to improve scientific data retrieval, reducing query response times by 30%. Automated cloud deployments on AWS (EC2, Lambda, S3) with CloudWatch alerts, enabling 35% faster release cycles and stable rollouts. Designed CI/CD pipelines with Jenkins and GitHub Actions to support zero-downtime production updates. Optimized MongoDB queries and added Redis caching, cutting data delays by 25% under heavy workloads. Collaborated with researchers and developers using Jira and Confluence to streamline sprint planning and boost velocity by 20%. Enhanced observability with Prometheus metrics and Grafana dashboards, shortening anomaly detection and recovery time by 35%. Built unit and integration tests with Jest and Supertest, lifting test coverage to 85% and reducing post-release issues. Followed ESLint standards and modular patterns to improve maintainability and onboarding of new engineers.