Nune Tadevosyan is a Research Engineer in AI at NVIDIA with two years of experience building machine learning and conversational AI systems across industry and research internships. She progressed rapidly from FPGA-focused R&D work—where she improved tooling and QT GUIs at Microchip—to ML engineering at Fast Bank and a conversational AI research internship before joining NVIDIA’s research team. Holding a master's in Data Science from Yerevan State University and additional training in deep learning, she combines solid theoretical grounding with hands-on implementation skills. Based in Yerevan, she brings a practical systems perspective informed by low-level hardware optimization and higher-level ML model development. Colleagues value her ability to translate research ideas into production-ready features and her appetite for bridging embedded and AI domains.
2 years of coding experience
2 years of employment as a software developer
42 Yerevan
Machine Learning and Deep Learning, Machine Learning and Deep Learning at Foundation for Armenian Science and Technology
Master's degree, Data Science, Master's degree, Data Science at Yerevan State University
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Contributions:2 PRs, 29 pushes, 2 branches in 10 months
A toolkit for processing speech data and creating speech datasets
Contributions:38 pushes in 4 months
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Nune Tadevosyan - Research Engineer - AI at NVIDIA