Manel Jurjo
Applied Scientist at Amazon
Cambridge, Massachusetts, Spain
Summary
👤
Senior🎓
Top SchoolManel Jurjo is an applied scientist with a decade of experience bridging academic research and industry productization in generative models and large-scale pretraining. Trained as a PhD candidate at MIT CSAIL and now at Amazon, he has blended deep research stints at Google (GeometricAI, VisCam) and internships at Uber with hands-on engineering roles earlier in his career. His background spans computer science and telecommunications engineering, giving him a rare mix of theoretical rigor and systems-level intuition for deploying ML at scale. Based in Lleida, Catalonia, he brings a track record of turning cutting-edge research into practical solutions and is comfortable navigating both research labs and large product teams. An understated strength is his cross-disciplinary fluency—from geometric and vision research to production ML—that helps accelerate innovation across the model lifecycle.
10 years of coding experience
3 years of employment as a software developer
CFIS: Double BSc in Computer Science & BSc in Telecom Engineering, CFIS: Double BSc in Computer Science & BSc in Telecom Engineering at CFIS-UPCMaster’s Degree Telecomunications Engineering, Master’s Degree Telecomunications Engineering at UPC - ETSETB TelecomBCNEntrepreneurship Immersion Program Summer School, Entrepreneurship Immersion Program Summer School at Esade
Catalan, Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
data-science9
pytorch9
python9
machine-learning9
tensorflow9
deep-learning9
depth9
kitti8
jax8
representation-learning8
cpp6
3d6
backend4
neural-rendering2
inference2
Programming languages (4)
Github contributions (5)
mbaradad/my_python_utils
Oct 2018 - Feb 2026
PythonUtils
Contributions:129 pushes in 7 years 4 months
mbaradad/shaders21k
Oct 2022 - Mar 2023
Procedural Image Programs for Representation Learning - NeurIPS 2022
Contributions:17 commits, 2 PRs, 27 pushes in 5 months
representation-learning
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