Summary
Shubham Pandey is a Senior Machine Learning Engineer based in Austin with 5+ years of hands-on experience building and optimizing large-scale, client-facing backend systems and data pipelines. He bridges data engineering and ML production—designing high-performance REST APIs, optimizing SQL/Hive/KDB+ queries, and implementing scalable storage solutions across SQL and NoSQL ecosystems. Proficient in Java, C++, Python and Go, he has a track record improving query latencies from minutes to seconds and tuning LSM/KeyValue stores for better disk and memory usage. An alum of Purdue (MS CS) who taught databases and data structures, he enjoys working on optimization challenges and has a particular interest in stochastic methods and compression algorithms that inform his approach to performant systems.
4 years of coding experience