Ana Mendez
Senior Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAna Mendez is a Senior Data Scientist with a PhD in Music Technology from NYU and eight years of experience applying human-in-the-loop, active learning, and evaluation frameworks to audio, NLP, and LLM problems at Apple, Microsoft, Bosch, and Grid Dynamics. She specializes in designing annotation pipelines and prompt-optimized synthetic data generation that reduce human labeling effort while preserving or improving model quality. Her research background in machine listening informs practical systems for model training and automated plus human-centered evaluation of generative models. Known for marrying rigorous academic methods with production-focused engineering, she builds metrics and workflows that make large-scale data work more efficient and reliable. Based in New York, she brings a rare combination of DSP/music tech expertise and hands-on ML tool design that helps bridge research and product impact.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (BE), Systems Engineering, Bachelor of Engineering (BE), Systems Engineering at Universidad Metropolitana (VE)Doctor of Philosophy - PhD, Music Technology, Doctor of Philosophy - PhD, Music Technology at New York UniversityAdvanced Degree, Digital Marketing, Advanced Degree, Digital Marketing at Quality Leadership University
Spanish, English
Github Skills (9)
clustering7
audio7
frontend4
mechanical-turk4
openframeworks2
music-information-retrieval1
mir1
source-separation1
datasets1
Programming languages (6)
Github contributions (5)
microsoft/multilabel-clustering-audio
Aug 2019 - Aug 2019
2019 Internship project: multilabel clustering for audio
Contributions:10 commits, 10 pushes in 1 day
audioclustering
anaelisa24/PUI2018_amm1209
Sep 2018 - Dec 2018
Contributions:49 pushes, 1 branch, 1 issue in 2 months
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