Hey, I'm Preetam, a Master's student studying computer science at the University of Pennsylvania. My interests are in systems, especially distributed computing. My current research focuses on interference-aware cluster scheduling for reinforcement learning workloads, using a Ray-like distributed execution engine that I'm building.

I completed my Bachelor's in computer science at the University of Georgia, where a cloud computing course introduced me to systems.

This summer, I'm interning at LinkedIn in the data infrastructure organization, working on Apache Spark optimization.

Outside of CS, I enjoy reading, soccer, pickleball, working out, and challenging my beliefs.

work

  1. LinkedIn | Systems & Infra Intern

    Apache Spark join optimization

  2. University of Georgia | Undergraduate Researcher

    Fault-tolerant serverless workflows on AWS Spot Instances

  3. Credera | Software Engineer Intern

    Mercedes-Benz USA dealership display software

  4. BAE Systems | Software Development Intern

    Radio communication monitoring, Spark optimization, and Apache Arrow Flight data streaming

  5. UGA Small Satellite Research Laboratory | Flight Software Developer

    Satellite telemetry software in C++ and NASA's F' framework

projects

  1. PennSearch

    A search engine with crawling, indexing, ranking, and query serving on over more than 500,000 pages

  2. InterfeRay

    A Ray-like distributed execution engine built for studying interference between reinforcement learning workloads

  3. PennOS

    A Unix-based operating system featuring priority scheduling and a FAT-based file system

contact

Feel free to reach out about research or any other interesting opportunities.