Antonio Yepes
Principal Data Scientist
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAntonio Yepes is a machine learning researcher and engineer with deep expertise in Python (10+ years), Transformer architectures, LLMs and Vision-Language Models, and over 20 years of Java and traditional ML experience. Based in the San Francisco Bay Area, he has driven document intelligence and RAG systems at startups and research labs, including founding AI engineering work at Unstructured and research leadership roles at IBM and RMIT. He bridges rigorous academic research—PhD work in information retrieval and biomedical text—with hands-on production deployments on AWS, Azure and the Hugging Face ecosystem. Known for translating deep research into product-ready solutions, he has also explored low-power synaptic chip ML and practical EEG/image analytics, an uncommon combination that underscores his focus on both novel architectures and efficient inference.
10 years of coding experience
21 years of employment as a software developer
PhD Information Retrieval Information Extraction Ontologies Biomedical Domain, PhD Information Retrieval Information Extraction Ontologies Biomedical Domain at Universitat Jaume I
Github Skills (34)
labeling10
preprocessing10
data-pipelines10
data-science10
langchain10
ocr10
pdf-to-text10
donut10
machine-learning10
pdf10
information-retrieval10
docx10
ml10
llm10
mlops10
Programming languages (5)
Github contributions (5)
ajjimeno/icdar-task-b
Mar 2021 - Mar 2022
Contributions:4 commits, 4 pushes, 1 branch in 11 months
ajjimeno/cpp-python-c-api
May 2022 - Aug 2024
Example of wrapping a C++ class to be used in python using the C-API
Contributions:2 PRs, 13 pushes, 3 branches in 2 years 3 months
apic-apipythonwrapping
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