Chris Samarinas is a machine learning researcher and PhD candidate in Information Retrieval at UMass Amherst with 11 years of industry and academic experience applying NLP to information retrieval, extraction, QA, knowledge graphs, and recommendation systems. He has tackled hard production and research problems across Adobe Research, multiple AI startups, and international universities, and has recent applied-science internships at Amazon and Netflix that bridge research and product impact. As founder of Naget and a hands-on research engineer, he pairs deep IR expertise—currently focused on conversational search—with practical system-building skills. His background spans research-intensive roles and engineering stints from London to Singapore, suggesting fluency in both prototype research and deployable ML solutions. Open to short-term collaborations and internships, he brings curiosity-driven exploration informed by real-world constraints and cross-cultural engineering experience.
11 years of coding experience
9 years of employment as a software developer
1st Junior High School of Efkarpia
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Aristotle University of Thessaloniki (AUTH)
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Massachusetts Amherst
An easy to use framework for large-scale fact-checking and question answering
Contributions:46 commits, 2 PRs, 39 pushes in 1 year
qr-bertpythonfactretrievalsquad
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