Biljana Rolih, PhD
About Biljana Rolih, PhD
Biljana Rolih, PhD, is a Machine Learning Engineer at Barracuda with a background in computational chemistry and physics, specializing in NLP products for content analysis and improvement.
Current Position at Barracuda
Biljana Rolih, PhD, is currently employed as a Machine Learning Engineer at Barracuda. Her role involves developing machine learning solutions with a particular focus on enhancing security products. She employs her extensive knowledge in natural language processing (NLP) to build systems that improve data analysis and content security.
Previous Role at Writer
From 2018 to 2020, Biljana Rolih served as an Applied Machine Learning Engineer at Writer in the San Francisco Bay Area. During her tenure, she contributed to the development of NLP products designed for content analysis and improvement. Her work involved transforming research papers and prototype models into production-ready code, aligning with her passion for natural language processing.
Experience at Coinbase
Biljana Rolih worked as a Data Science Intern at Coinbase for six months in 2017, based in San Francisco, CA. Her internship provided her with hands-on experience in the field of data science, where she applied her technical skills in a fast-paced, real-world environment.
Academic Background at UCLA and UC Santa Barbara
Biljana Rolih completed her educational journey with a Doctor of Philosophy (PhD) in Computational Chemistry from UCLA, studying from 2006 to 2014. She also holds a Bachelor's degree in Physics from UC Santa Barbara, earned between 2002 and 2006. Her academic background provides a strong foundation in both computational techniques and physical sciences.
Professional Skills and Expertise
Biljana Rolih specializes in developing NLP products for content analysis and improvement. Her skills include turning research papers and conceptual models into operational code. As a full-stack Data Scientist and Machine Learning Engineer, she combines expertise in data analysis, machine learning, and natural language processing, demonstrating her passion for advancing technologies in these fields.