Summary
Pawas Chhokra is a machine learning engineer with 11 years of experience building scalable, production ML and stream-processing systems, currently focused on ML/AI pipelines for product matching at Augment. He holds an MS in Computer Science from the University of Florida and a BTech (Hons) from IIIT Delhi, and has a track record of bringing research-grade ideas into production—from Samza autosizing and checkpointing at LinkedIn (U.S. patent) to ML-driven fraud detection and enforcement services at Grammarly. Comfortable across the full stack, he blends distributed systems expertise with applied ML, having built core streaming control planes, canary deployment systems, and Databricks/AutoML pipelines. Based in Greater Vancouver, he favors pragmatic, automation-first solutions that reduce manual tuning and operational overhead while improving reliability. An often-overlooked thread through his career is a knack for creating unifying platform tooling (analytics, orchestrators, dashboards) that scales both teams and services.
11 years of coding experience
BTech Honors, Computer Science, BTech Honors, Computer Science at IIIT Delhi
Master of Science, Computer Science, Master of Science, Computer Science at University of Florida