Lavinia Ghita

Lavinia is a solutions architect manager at NVIDIA, leading the EMEA technical team for the Financial Services Industry (FSI). Specializing in NLP, her work focuses heavily on compression and distillation techniques for efficient AI. Prior to NVIDIA, Lavinia worked on research and applications in this space at a quantitative hedge fund and in big tech. She holds advanced degrees in Mathematics from the École Polytechnique Fédérale de Lausanne (EPFL).
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Posts by Lavinia Ghita

Agentic AI / Generative AI

Synthetic Data Generation for Financial AI Research with NVIDIA NeMo

Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings... 13 MIN READ
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Agentic AI / Generative AI

Build Efficient Financial Data Workflows with AI Model Distillation

Large language models (LLMs) in quantitative finance are increasingly being used for alpha generation, automated report analysis, and risk prediction. Yet... 11 MIN READ
Agentic AI / Generative AI

Transforming Financial Analysis with NVIDIA NIM

In financial services, portfolio managers and research analysts diligently sift through vast amounts of data to gain a competitive edge in investments. Making... 13 MIN READ