Shashwat Dadhich is a Data Analyst and full-stack engineer with four years of experience building and scaling cloud-native systems, currently based in Memphis and pursuing an MS in Computer Science at the University of Memphis. He blends backend expertise in Go and Java with frontend skills in React and jQuery, and has hands-on experience with Kubernetes, microservices, and CI/CD—contributing bug fixes and core logic improvements to the well-known Devtron Kubernetes dashboard. At Devtron and as a research developer he refined deployment workflows, refactored monolithic server setups into consolidated services, and automated testing and deployment via Docker and VM strategies. Known for pragmatic problem-solving, he integrates AI features like ChatGPT into products and has migrated database layers from raw SQL to GORM for cleaner data handling. Reliable and team-oriented, he pairs academic rigor with open-source contributions and a track record of improving system reliability and developer experience.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Electronics and Communications Engineering with minor in Computer Science, Bachelor of Technology - BTech, Electronics and Communications Engineering with minor in Computer Science at Birla Institute of Technology, Mesra
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Memphis
Contributions:17 reviews, 96 PRs, 604 pushes in 1 year 3 months
Contributions summary:Shashwat primarily contributed to bug fixes and feature enhancements within the `devtron-labs/devtron` repository, which is a Kubernetes dashboard. Their commits addressed issues related to deployment status, helm application status, and job functionalities. They also made changes to the app clone service and updated internal SQL repository components and configurations, highlighting involvement in core application logic and data management.
Contributions:4 PRs, 51 pushes, 5 branches in 3 months
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