Pere Martra
Book Author at Pere Martra
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolPere Martra is an ML research engineer and author based in Barcelona with 11 years of experience building efficient, secure, and production-ready AI systems. He specializes in LLM post-training optimization—structural pruning, knowledge distillation, and adaptive inference—and is the creator of OptiPfair, an open-source toolkit for activation-guided, fairness-aware pruning that helped his projects retain ~98% performance at half the model size. Author of a forthcoming Manning guide on rearchitecting LLMs, Pere combines hands-on deployment expertise (FastAPI, Docker, CI/CD) with academic rigor from a master’s in AI research and a track record of bias-mitigation validated on models like Llama-3.2 and Salamandra-2B. His background in ATM security and large-scale banking systems informs a pragmatic focus on robustness and responsible AI, and his Large Language Model Notebooks have attracted significant community attention (1.8K+ GitHub stars).
11 years of coding experience
10 years of employment as a software developer
Master's Degree in Artificial Intelligence Research, Artificial Intelligence, Master's Degree in Artificial Intelligence Research, Artificial Intelligence at Universidad Internacional Menéndez PelayoUOC (Universitat Oberta de Catalunya)
English, Spanish, Catalan
Stackoverflow
36reputation
3kreached
4answers
2questions
Github Skills (20)
transformers10
face10
langchain10
vector-database10
large-language-models10
huggingface10
machine-learning9
natural-language-processing9
nlp9
deep-learning8
tensorflow8
file-upload6
google-app-engine6
python6
jakarta-mail6
Programming languages (1)
Github contributions (5)
peremartra/Large-Language-Model-Notebooks-Course
May 2023 - Mar 2025
Practical course about Large Language Models.
Contributions:4 reviews, 14 PRs, 586 pushes in 1 year 10 months
chatbotsfine-tuning-llmhfhuggingfacelangchain
peremartra/oopere
May 2022 - Feb 2024
Contributions:11 pushes, 1 branch in 1 year 9 months
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