Summary
Pritesh Gudge is a Staff Engineer specializing in streaming platforms and Flink infrastructure with over a decade of backend, infrastructure, and data engineering experience and more than five years leading teams. He’s built high-throughput analytics and ML-embedded search systems at scale, and at Shopify drove ingestion and query language work for a ClickHouse-based analytics stack ingesting multi-GB/s and supporting tens of thousands of QPS. Comfortable across Python, Go, Rust, NodeJS, Kotlin and Java, he navigates both org-level roadmaps and hands-on system design, having led large microservice teams for e-commerce and logistics platforms. His background spans academia and industry—from embedded systems research in particle physics to teaching distributed systems—reflecting a depth that surfaces in pragmatic, high-performance solutions. Based in Ottawa, he combines an engineer’s curiosity (reflected in diverse Udacity deep learning, robotics, ML and blockchain nanodegrees) with proven delivery on production-critical data infrastructure.
9 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Nano Degree Deep Learning, Nano Degree Deep Learning at Udacity
German, Hindi, Marathi, Kannada, English