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I am a quantitative researcher and developer at Nomura in the Global Markets Division, working on architecture of low-latency pricing and analytics engines for securitized products. Prior to this, I worked on Change Data Capture (CDC) in YugabyteDB at Yugabyte.
Prior to joining Nomura, I completed my bachelors at BITS Pilani, with a dual major in Computer Science and Economics. During that time, I was part of Advanced Data and Parallel Technologies (ADaPT) Lab, working with Dr. Jagat Sesh Challa on unsupervised machine learning algorithms and systems for tasks like clustering, classification, frequent-itemset mining and anomaly detection.
- ML-for-Systems: Early detection of workload characteristic drift from design assumptions.
- Distributed Systems & HPC: Mechanisms for autonomous reconfiguration and low-latency control planes.
- Systems-for-ML: Co-designing system adaptivity with application-level execution for large-scale workloads.
AnyStreamKM: Anytime k-medoids Clustering for Streaming Data
IEEE International Conference on Big Data (IEEE BigData, 2022)
Authors: Jagat Sesh Challa, Dhruv Rawat, Poonam Goyal, Navneet Goyal.
[DOI] / [PDF]
Last updated: January 2026