Federico Betti
Senior Machine Learning Engineer at Typewise
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolFederico Betti is a Senior Machine Learning Engineer with nine years of experience building production-grade NLP and multimodal LLM systems from research to shipped product. At Typewise (YC W22) he designs and optimizes multilingual text-prediction, grammar correction, and generative features that balance model performance, latency, and footprint, while integrating retrieval-augmented hierarchical agents for real-world automation. He combines a PhD-level research background—collaborating with ETH Zurich labs on efficient NLP models—with a startup mindset, partnering with founders on product strategy, hiring, and go-to-market tradeoffs. Comfortable across research, engineering, and human-in-the-loop evaluation pipelines, he focuses on measurable user impact and smooth product discovery. Outside work he’s a Padel and NBA fan who welcomes thoughtful collaborations.
9 years of coding experience
1 year of employment as a software developer
Student of Alta Scuola Politecnica, Student of Alta Scuola Politecnica at Alta Scuola PolitecnicaLiceo Scientifico TassoniDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of TrentoErasmus programme on the Master Degree, Computer science, Erasmus programme on the Master Degree, Computer science at Ecole polytechnique fédérale de LausanneMaster Degree in Computer Engineering, 110/110 cum Laude, Master Degree in Computer Engineering, 110/110 cum Laude at Politecnico di Milano
Italian, English
Github Skills (59)
database8
audio8
flux8
checker8
visualization8
sentence8
postgresql7
electra7
mysql7
pytorch7
dashboard7
similarity7
slack7
natural-language-processing7
languagetool7
Programming languages (4)
Github contributions (5)
mmnnlight/Recommender-System-Competition
Nov 2018 - Feb 2019
Contributions:151 commits in 2 months
federicoBetti/RelGAN
Apr 2019 - Nov 2019
Implementation of RelGAN: Relational Generative Adversarial Networks for Text Generation
Contributions:156 pushes in 7 months
pytorchrelationaldeep-learningadversarialgenerative-adversarial-networks
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