Vedant Sawant

Worked on Python-based microservices architecture, integrating advanced graph technologies like Neo4j and JanusGraph to model complex industrial data. Built scalable systems interfacing with MCP servers and various AI pipelines. Contributed to AI agent development, implemented RAG-based workflows, and supported multiple AI-driven use cases. Played a key role in enhancing the core product through backend engineering, graph data modeling, and rapid experimentation with AI capabilities.

Co-developed a prototype iOS app with another intern in Swift for the new Splunk Phantom security orchestration product (later publicly demoed and launched at .conf annual conference in Las Vegas). Implemented a realtime service for the iOS app in Django (Python) and C++; serialized data using protobufs transmitted over gRPC resulting in an approximate 500% increase in data throughput.

Architected and wrote the entire MVP of the GeForce Now Cloud Gaming internal admin and A/B testing dashboard using React, Redux, TypeScript, and Python.

Implemented a custom Kubernetes controller in Go to automate the deployment of MySQL and ProxySQL custom resources in order to enable 2,000+ internal developers to instantly deploy their app databases to production. Wrote several scripts in Go to automate MySQL database failovers while maintaining master-slave replication topologies and keeping Zookeeper nodes consistent with changes.