Daniel Fojo
Machine Learning Engineer at Lace Lithography
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolDaniel Fojo is a machine learning engineer with a decade of experience building production ML systems across startups, research labs, and large tech companies, currently working at Lace Lithography in Barcelona. He has held senior engineering roles at Glovo and Meta and contributed research-grade ML at Disney Research and Vilynx, blending applied deep learning with scalable deployment. As a former professor and course coordinator in MLOps, NLP, CV and deep reinforcement learning, he uniquely bridges academic rigor and production practices. His background in engineering physics and advanced mathematics underpins a strong analytical approach to model design and evaluation. Colleagues know him for turning complex research prototypes into maintainable systems and for mentoring engineers and students through hands-on teaching and tutoring. He often combines deep theoretical insight with practical MLOps patterns to shorten the path from experimentation to reliable production.
10 years of coding experience
6 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (18)
recurrent-neural-networks10
programming-language9
python9
speech-to-text9
ipopt9
embedded8
julia8
nonlinear-programming8
pytorch7
machine-learning7
tensorflow7
deep-learning7
raspberry-pi6
speech-recognition6
gpu6
Programming languages (4)
Github contributions (5)
imatge-upc/danifojo-2018-repeatrnn
Oct 2017 - Mar 2018
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
Contributions:64 commits, 10 pushes, 1 branch in 5 months
recurrent-neural-networksdeep-learningrnnpytorchtensorflow
telecombcn-dl/2018-dlai-team1
Nov 2018 - Jan 2019
Contributions:46 commits, 41 pushes, 3 branches in 1 month
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