Soham Ratnaparkhi is a founding AI engineer and full-stack developer with four years of experience building high-performance, cloud-native systems and developer tooling. He has hands-on expertise in Java, Python, Go, and TypeScript, and has engineered auto-scaling, event-driven pipelines and low-latency search backends that cut costs and response times in half. As an open-source contributor and LFX'23 mentee at LitmusChaos, he improved chaos-engineering workflows and helped migrate GraphQL schemas while adding test coverage. He leads developer communities as former President of the Microsoft Learn Student Club at VIT and publishes research on Web3, blockchain, AI and ML in venues like IEEE and Springer. Comfortable across backend, DevOps and Web3, Soham pairs system-level optimization with a knack for automating SDK generation from OpenAPI specs to speed integrations. Based in Pune, he combines startup founding experience with academic research, making him equally at home prototyping novel systems or hardening production services.
4 years of coding experience
Bachelor of Technology - BTech, Computer Software Engineering, Bachelor of Technology - BTech, Computer Software Engineering at Vishwakarma Institute Of Technology
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
Role in this project:
Back-end & DevOps Engineer
Contributions:18 reviews, 6 PRs, 38 comments in 5 months
Contributions summary:Soham primarily focused on refactoring and enhancing the `chaos-workflow` package, reducing code duplication and improving manifest label updates. Their work included creating and utilizing helper functions for label updates and generating weights. Furthermore, they contributed to separating experiment runs and related GraphQL schemas, resolvers, and types, indicating involvement in API and service design. The user also added mocks for test cases, showing a focus on improving test coverage and software reliability.
This is a project created for revolutionizing Online Education by trying to eradicate the problem of language barrier
Contributions:1 release, 4 reviews, 78 commits in 3 months
pythononline-educationbarrierflaskjavascript
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Soham Ratnaparkhi - Founding AI Engineer at HydraDB