ABOUT

I'm Arnav, a student at Boston University pursuing B.A's in both Computer Science and Economics. My main interest lies in distributed systems and my recent internship at Grepr sparking fascination with stateful, fault-tolerant stream processing engines. I'm also interested in integrating emerging AI/ML systems into established SaaS products. In my free time, I enjoy playing and watching soccer (an Arsenal fan, unfortunately), lifting weights, and working on improving my reading and writing skills in a world of AI where original thought is invaluable.

WORK

EXPERIENCE

Grepr

SWE Intern • San Francisco, CA • Summer 2025

  • Assisted in building Grepr's new distributed tracing product, handling the query and storage layer for unprocessed traces while maintaining constraints in a distributed systems environment built with Apache Flink, Apache Iceberg, and a React/TypeScript frontend
  • Built both the OpenTelemetry log and trace integrations, implementing efficient serialization/deserialization with minimal garbage collection, sustaining 10,000+ records/sec across a Kubernetes-orchestrated AWS infrastructure, ensuring low latency and fault tolerance at scale
  • Wrote and executed database migration scripts on production clusters, ensuring schema consistency and safe rollouts
  • Built a comprehensive integration test suite in JUnit validating interoperability with Datadog, Splunk, OpenTelemetry, Sumo Logic, and AWS S3

PROJECTS

Distributed File System (DFS)

Peer-to-Peer Network • Go

  • A decentralized, peer-to-peer distributed file system implementing Content-Addressable Storage (CAS) with AES encryption
  • Features automatic file replication, fault tolerance, and modular architecture supporting custom transport protocols and storage backends
  • Built with TCP transport layer and SHA-1 cryptographic hashing for secure file operations across network peers