Summary
Hijbul Alam is a Lead Data Scientist based in the New York City area with over a decade of experience translating ML research into production-grade AI and large-scale data systems. He combines a PhD-backed research background in text mining and consumer behavior with hands-on engineering—building NLP entity-resolution tools, collaborative filtering recommenders, and real-time ingestion pipelines using Spark, Airflow, Polars and PySpark. His career spans academia and industry, including postdoctoral work on exploratory search and multiple publications, which informs practical solutions for telecom and e-commerce clients. Known for bridging rigorous research methods with pragmatic engineering, he often tackles noisy multilingual text and large-volume streaming data where domain nuance matters.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Korea University