Fco González
Sr. ML Engineer Amazon
Luxembourg
Summary
👤
Senior🎓
Top SchoolFco González is a Senior Machine Learning Engineer at Amazon with 12 years of experience building production ML systems and data pipelines that move fast and scale globally. He has driven measurable business impact—designing behavioral features and infrastructure that helped recover signal sparsity and contributed to over $1.1B in estimated revenue gains—and shortened feature development cycles from six months to one. At Amazon he leads efforts to generalize an ML experimentation framework and expand Generative AI/LLM workflows across languages, reducing human-in-the-loop costs and accelerating time-to-market. His background spans end-to-end search ranking, NLP model deployment, and big data orchestration from roles at NTENT to international Search, backed by a PhD in Computer Science. Known for combining research-grade rigor with pragmatic engineering, he frequently unifies feature definitions and refactors frameworks to unlock reuse across teams. Based in Luxembourg, he brings a quiet curiosity—summed up by a one-word GitHub bio, “Learning.”—that drives continual improvement of systems and teams.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Engineering & Computer Science, 9.51/10, Master’s Degree, Computer Engineering & Computer Science, 9.51/10 at Universidad de MálagaDoctor of Philosophy - PhD, Computer Science and Information Technology, Excellent “Cum Laude”, Doctor of Philosophy - PhD, Computer Science and Information Technology, Excellent “Cum Laude” at Universitat Pompeu FabraMaster’s Degree, Computer Science, 110/110, Master’s Degree, Computer Science, 110/110 at Università di Pisa
Spanish, English, Italian
Github Skills (50)
classification10
emotion10
null-safety9
azure-cosmos-db9
azure-cognitive-services9
cognitive-services9
spark-ml9
pytorch9
keyword-spotting9
python9
machine-learning9
pyspark9
deep-learning9
tflint9
structured-data9
Programming languages (4)
Github contributions (5)
nur-ag/IGEL
Dec 2019 - Nov 2022
IGEL: Inductive Graph Embeddings through Locality Encodings
Contributions:92 commits, 2 pushes in 2 years 11 months
embedding-modelsgraphsmachine-learningrepresentations-learning
nur-ag/neural-networks-for-nlp-course
Apr 2020 - Apr 2020
A Keras-based course to go from 0 to 1 using Neural Networks for NLP, focused on programming and practice!
Contributions:6 commits, 1 PR, 2 pushes in 1 day
nlppythonkeras-modelsdeep-learningneural-networks
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