Summary
Sanjay Krishnan is an ML/AI lead and University of Chicago assistant professor with 13 years of experience designing large-scale AI systems across domains from robotic surgery automation to digital archeology. He blends academic rigor—holding a PhD from UC Berkeley—with production-focused engineering, having built resource-efficient, modular ML architectures and applied them in quantitative finance and privacy-focused products. At EchoMark he leads AI work for data privacy while his research emphasizes modularity and parallelism in large language models for real-time and low-resource deployments. Known for tackling messy, real-world data problems (e.g., approximate query processing and data cleaning from his PhD), he pairs deep theoretical insight with hands-on systems design. Based in Hinsdale, IL, he’s comfortable moving between cutting-edge research and operationalizing models at scale.
13 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), EECS, Bachelor of Science (BS), EECS at University of California, Berkeley
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at UC Berkeley