Julia Jose is a Data Scientist and Ph.D. candidate in Computer Science at NYU with nine years of experience applying NLP and deep learning to online privacy, misinformation, extremism, and hate speech. She has bridged research and industry—building production ML systems and MLOps tools at Atos zData and developing open-source LLM-driven products at Atento Capital, including a deployed resume-writing model optimized with techniques like RoPE scaling and flash attention. Her background spans multilingual information retrieval, conversational AI, and applied behavioral research from internships at Qatar Computing Research Institute and a research assistantship at ASU. Comfortable working across academia, finance, and startups, she combines strong mathematical and programming foundations with practical deployment experience on A100 servers and vLLM serving. Notably, her work blends deep linguistic analysis with scalable ML engineering, enabling both insight into online harms and real-world AI products.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York University
Bachelor of Technology - BTech, Electronics and Communication Engineering, Bachelor of Technology - BTech, Electronics and Communication Engineering at National Institute of Technology Delhi
High School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Birla Public School, Doha, Qatar
Contributions:7 PRs, 39 pushes, 2 branches in 1 year 1 month
data-analyticssemantic-search
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