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 (21)
react5
mechanical-turk4
machine-learning2
audiounit2
audio-effect2
sampler2
survey2
audio2
mir1
datasets1
labeling1
cross-platform1
modular1
spatial-audio1
architecture1
Programming languages (6)
Github contributions (5)
microsoft/multilabel-clustering-audio
Aug 2019 - Aug 2019
Contributions:10 commits, 10 pushes in 1 day
anaelisa24/PUI2018_amm1209
Sep 2018 - Dec 2018
Contributions:49 pushes, 1 branch, 1 issue in 2 months
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