Alessandro Pappalardo
SAP FI CO Consultant at SEDAMYL
Piedmont, Italy
Summary
🤩
Rockstar🎓
Top SchoolAlessandro Pappalardo is an SAP FI/CO consultant with 11 years of experience helping organizations in Italy optimize finance and controlling processes. He currently works at ETEA Service and consults for Sedamyl, bringing practical SAP implementation and finance-control expertise developed through progressive roles at Capgemini. Trained with intensive SAP MM/FI coursework and grounded in a master’s in Management and Entrepreneurship, he blends technical configuration skills with business-focused process design. Uncommonly for an SAP consultant, he has contributed to an open-source PyTorch quantization project (Brevitas), showing a hands-on interest in machine learning tooling and low-level model optimization. Based in Piedmont, he combines advisory experience across consulting and industry projects with a background in data analysis and payroll fundamentals. Colleagues describe him as a pragmatic problem-solver who translates complex requirements into auditable, operational SAP solutions.
11 years of coding experience
Corso di formazione SAP intensivo moduli MM/FI (100 ore), Corso di formazione SAP intensivo moduli MM/FI (100 ore) at GJordan di Gauss Jordan S.r.l.Laurea Magistrale in Management imprenditorialità e innovazione Imprenditorialità, Laurea Magistrale in Management imprenditorialità e innovazione Imprenditorialità at Università degli Studi del MoliseCorso professionale in Addetto Paghe e Contributi (40 ore di formazione), Corso professionale in Addetto Paghe e Contributi (40 ore di formazione) at Randstad HR Solution S.r.l.
Github Skills (10)
tensorrt10
pytorch10
machine-learning10
tensor10
deep-learning10
tensorflow10
operation10
onnx9
api8
apidoc8
Programming languages (4)
Github contributions (5)
Xilinx/brevitas
Aug 2018 - Jan 2023
Brevitas: neural network quantization in PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:32 releases, 243 reviews, 1147 commits in 4 years 5 months
Contributions summary:Alessandro contributed to the Brevitas repository, which focuses on neural network quantization in PyTorch. Their work includes implementing quantization proxies, introducing new layers, and fixing issues related to quantization techniques. The user's contributions demonstrate a focus on improving the framework's functionalities and overall stability.
pytorchxilinxdeep-learningquantization-aware-trainingneural-networks
zama-ai/brevitas
Sep 2021 - Nov 2022
Brevitas: quantization-aware training in PyTorch
Contributions:19 commits in 1 year 2 months
pytorchdeep-learningquantization-aware-trainingmachine-learningtraining
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