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.