Biljana Rolih is a Machine Learning Engineer in San Francisco with 11 years of experience building NLP products that move research and prototypes into production. She has full‑stack ML experience—designing and deploying scalable microservices and language models (NLTK, spaCy, BERT/transformers)—and has applied this at startups like Writer and at Barracuda. Her background spans computational chemistry research (PhD-level high‑throughput electronic structure work) to data science roles at Coinbase and Metis, giving her a rare combination of rigorous scientific modeling and product-focused ML engineering. Known for translating academic papers into production code, she also pays attention to practical metrics like performance and scalability to make NLP features reliable in real-world systems.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at University of California, Santa Barbara
Doctor of Philosophy (PhD), Computational Chemistry, Doctor of Philosophy (PhD), Computational Chemistry at University of California, Los Angeles
Contributions:2 PRs, 100 pushes, 3 branches in 1 year 6 months
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