David Aponte
Senior Research SDE at MLOps Community
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDavid Aponte is a Senior Research SDE in Microsoft’s Applied Sciences Group with eight years of experience building efficient training and inference methods for deep learning, focused on quantization, pruning, distillation, sparsity, and parallelism. Based in New York, he applies ML systems expertise to audio/visual perception problems and bridges research and production from his prior senior engineering and MLOps roles. His background spans academia and industry—research affiliate work at UIUC, MLOps community organizing, and ML engineering at BenevolentAI—highlighting both reproducible research and production-grade infrastructure. Trained across computer science, data science, education, and molecular biology, he brings a multidisciplinary perspective that often surfaces practical, systems-level optimizations not obvious from model papers alone.
8 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at New Jersey Institute of TechnologyMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Merrimack CollegeMaster of Science - MS, Secondary Education and Teaching, Master of Science - MS, Secondary Education and Teaching at University of BridgeportBachelor of Science - BS, Molecular Biology, Bachelor of Science - BS, Molecular Biology at Montclair State University
Spanish, English
Github Skills (43)
testing7
r7
python7
kaggle7
gpu6
data-mining6
classification6
catboost6
test-automation5
azure5
decision-tree5
cuda5
deep-learning5
keras5
java5
Programming languages (4)
Github contributions (5)
aponte411/model_pipelines
Feb 2020 - Mar 2020
Template for ML projects.
Contributions:1 PR, 286 pushes, 1 branch in 1 month
deep-learningtemplatepythonmachine-learning
aponte411/data-structures
Nov 2020 - Jan 2021
Contributions:2 PRs, 89 pushes, 2 branches in 1 month
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