About Me

Hey, I’m Kaushal Attaluri, a passionate Software Engineer currently working at Pega, where I contribute to the Cloud Engineering org, specifically in the Infra and Databases team. My role involves ensuring the stability, scalability, and performance of Pega’s cloud-native infrastructure.

Outside of my professional responsibilities, I am a enthusiast in research and innovation, with active interests in:

  • ⚙️ Machine Learning Systems
  • 🔐 Federated Learning and Security
  • 🧠 Optimization Algorithms

I enjoy exploring the intersection of Machine Learning and Distributed systems to design solutions that are scalable, secure, and efficient.

🧰 Technical Skillset

Java Python Golang Microservices AWS LLMs Machine Learning Databases Serverless Compute

📄 Must read papers on:

1. Machine Learning Systems & Privacy

  • TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems – Abadi et al.
  • Federated Learning: Collaborative Machine Learning without Centralized Training Data – McMahan et al.
  • Membership Inference Attacks Against Machine Learning Models – Shokri et al.
  • Differential Privacy: A Primer for a Non-technical Audience – Cynthia Dwork

2. Databases & Distributed Systems

  • Dynamo: Amazon’s Highly Available Key-value Store – DeCandia et al.
  • Spanner: Google’s Globally-Distributed Database – Corbett et al.
  • Raft: In Search of an Understandable Consensus Algorithm – Ongaro & Ousterhout
  • The Design of the Postgres Storage System – Michael Stonebraker

3. Base Papers

  • MapReduce: Simplified Data Processing on Large Clusters – Dean & Ghemawat, Google
  • The Google File System – Sanjay Ghemawat et al.
  • Bigtable: A Distributed Storage System for Structured Data – Chang et al.