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Building Your Foundation: Why Reading Papers is Essential for Machine Learning Engineers

Most of the ideas comes from reading scientific papers. I will focus more on the machine learning engineering side. But in summary you need to build a habit off reading papers.

July 14, 2025Read More →

Internship Experience at IGS, University of Maryland, Baltimore

During Summer 2024, I completed a data science internship as of Laboratory Assistant at the Institute for Genome Sciences (IGS) at the University of Maryland, Baltimore. This experience introduced me to the world of computational biology through daily literature reviews, hands-on work with genomic data, and active engagement with high-performance computing tools.

May 15, 2025Read More →

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