Pol Recasens
PHD Candidate
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolPol Recasens is a PhD candidate in Computer Architecture based in Barcelona with eight years of experience bridging research and applied machine learning on high-performance computing platforms. He has held visiting researcher roles at IBM Research focused on LLM inference optimization and AI security—work that spans agentic red-teaming and production inference efficiency. His background includes hands-on contributions at Barcelona Supercomputing Center, CERN’s AtmoRep project, and DTU’s Cognitive Systems group, reflecting a mix of atmospheric deep learning, data science, and systems engineering. Pol moves comfortably between research and engineering, having shipped data-science solutions in industry and prototyped scalable ML models in research settings. He combines rigorous academic training from UPC, DTU and Politecnico di Milano with practical experience optimizing foundation models and inferencing pipelines. Colleagues describe him as driven by curiosity and collaboration, thriving on technically ambitious projects with passionate teams.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Politecnico di MilanoUPC Universitat Politècnica de CatalunyaTechnical University of Denmark
Catalan, English, Spanish
Stackoverflow
46reputation
3kreached
1answer
0questions
Github Skills (6)
ec9
fibers7
eda7
huggingface-transformers6
expert4
expert-system2
Programming languages (3)
Github contributions (5)
lop1498/keras-f-anogan
Dec 2020 - Nov 2021
Contributions:13 commits, 419 pushes, 1 branch in 11 months
pgarec/pgarec.github.io
Sep 2023 - Jun 2024
Contributions:56 pushes, 1 branch in 8 months
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