Federico Peconi
MLE Senior Analyst at Prometeia
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolFederico Peconi is an MLE Senior Analyst based in Milan with 10 years of experience building ML infrastructure and backend systems that support production models end-to-end. He focuses on "everything around the model"—from data engineering and cloud deployments to scalable inference and monitoring—bringing practical engineering to ML workflows. Prior roles include Data Engineer at Target Reply Rome and current responsibility for ML lifecycle systems at Prometeia. Educated in computer science at Sapienza, Technical University of Munich, and Bologna, he blends rigorous academic training with hands-on cloud and data engineering practice. Known for a software-first mindset, he bridges data, ML, and cloud concerns to turn prototypes into reliable services. Colleagues describe him as the engineer who makes models operable, observable, and cost-effective in production.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Alma Mater Studiorum – Università di BolognaMaster's degree Computer Science, Master's degree Computer Science at Technical University of MunichMaster's degree Computer Science, Master's degree Computer Science at Sapienza Università di Roma
Italian, English
Stackoverflow
56reputation
4kreached
5answers
5questions
Github Skills (30)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
kernel-methods9
neural-network9
loss-functions8
quantum-computing8
sdk8
pytorch8
qiskit8
source-sdk7
Programming languages (5)
Github contributions (5)
arbiter1elegantiae/Robustness-of-deep-neural-networks-with-trainable-activation-functions
May 2020 - Oct 2020
Robustness of Deep Neural Networks using Trainable Activation Functions
Contributions:100 commits, 69 pushes in 5 months
resnetsactivationrobustnessloss-functionsdeep-learning
arbiter1elegantiae/kaf-nets
Mar 2020 - Jul 2020
Contributions:37 pushes, 1 branch in 3 months
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