Daniel Moreno
AI Engineer at Neptune North
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDaniel Moreno is an AI Engineer and final-year PhD in Probabilistic Machine Learning based in Madrid, blending eight years of applied research and industry experience across computer vision, diffusion-based generative models, and multimodal systems. He has transitioned academic advances into product work—from real-time YOLO-based detection projects and Bayesian studies to deploying Stable Diffusion and CLIP-driven solutions for fashion tech and visual search. His background includes a visiting research stint at UvA's AMLab and teaching roles that reflect strong mentorship and communication skills alongside deep technical expertise. Comfortable with both probabilistic foundations and modern LLM/agentic prompt engineering, he focuses on turning complex models into scalable, consumer-facing features. A less obvious strength is his cross-disciplinary training (Telecommunications and Elektrotechnik studies in Spain and TUM) that informs robust signal-processing approaches to contemporary ML problems.
8 years of coding experience
2 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)High School Diploma Science, High School Diploma Science at I.E.S. Universidad Laboral de ToledoMaster of Science in Elektrotechnik und Informationstechnik Telecommunications, Master of Science in Elektrotechnik und Informationstechnik Telecommunications at Technical University of Munich
Spanish, English, French, German
Github Skills (33)
computer-vision8
object-detection8
tensorrt8
onnx8
pytorch8
annotations8
imagenet7
labeling7
quality-assurance7
inference7
coreml7
deep-learning7
python-bindings7
image-labeling6
documentation-generator6
Programming languages (4)
Github contributions (5)
dbarrejon/Shi-VAE
Mar 2021 - Mar 2022
Contributions:8 commits, 9 pushes, 1 branch in 1 year
rajevv/Multi_L2D
Feb 2023 - Jul 2023
Contributions:55 pushes, 5 branches, 1 comment in 5 months
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