Summary
Jeffrey Lukman is a Senior Software Engineer with a decade of experience building data acquisition and processing pipelines, currently leading workflow initiatives at Bloomberg to improve fund data quality, coverage, and timeliness. A Ph.D. candidate in Computer Science at the University of Chicago, his research in distributed systems reliability has driven deep code forensics across Cassandra, ZooKeeper, and Hadoop and the creation of systematic tools to detect distributed concurrency bugs. He combines rigorous research instincts with product-focused delivery—having reengineered ETP and mutual fund ingestion to be multiple times faster while adding transparency and automated mappings that eliminated tedious manual work. Based in New Jersey, Jeffrey bridges academia and industry by applying fault-analysis techniques to production data systems, bringing both deep systems debugging skills and practical automation that saves analysts hundreds of hours.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Computer Information System, Bachelor of Computer Information System at Universitas Pelita Harapan
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Chicago