Ramon Pires
Research Scientist at Maritaca AI
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolRamon Pires is a research scientist with a Ph.D. in Computer Science from UNICAMP and 12 years of experience applying machine learning and deep learning to complex data in computer vision, NLP, pattern recognition, and robust reading. He has a strong track record in applied research, publishing in biomedical venues and contributing to practical systems for fingerprint spoofing detection, finger-vein recognition (patent-pending), document information extraction, and disease detection for melanoma and Alzheimer’s. Twice awarded the Google Research Award for Latin America and recognized for top theses by the Brazilian Computer Society, he bridges academic rigor with production-focused R&D. Based in São Paulo, he excels at end-to-end projects—from data collection and annotation to model training, validation, and deployment—and has hands-on experience training language models for Portuguese. Notably, his work reduced biometric error rates substantially across heterogeneous hardware, reflecting an uncommon combination of robustness engineering and scientific inquiry.
12 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Estadual do Sudoeste da BahiaPh.D., Computer Science, Ph.D., Computer Science at Universidade Estadual de Campinas
Portuguese, English
Github Skills (8)
warmup7
adam7
artificial-intelligence7
llm-inference6
learning-rate5
optimizer3
genai2
language-model1
Programming languages (1)
Github contributions (5)
piresramon/gpt-4-enem
Mar 2023 - Dec 2024
Code and data to evaluate LLMs on the ENEM, the main standardized Brazilian university admission exams.
Contributions:14 PRs, 33 pushes, 15 branches in 1 year 9 months
artificial-intelligencellm-inferencellmsmultimodal-datasets
piresramon/lm-evaluation-harness
Jun 2022 - Mar 2023
A framework for few-shot evaluation of autoregressive language models.
Contributions:17 PRs, 22 pushes, 11 branches in 9 months
language-model
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