Adriano Pagano
Senior Software Engineer at NIRLAB
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolAdriano Pagano is a Senior Software Engineer with a decade of experience building reliable, maintainable systems across greenfield and legacy codebases, currently based in Lausanne and working at NIRLAB. He blends server-side engineering, data engineering, and cloud architecture—formerly serving as CTO at VIUN where he led the design and delivery of a multi-tenant SaaS for AI visual inspection and established engineering and security practices. His background includes high-throughput real-time ETL, IoT ingestion, healthcare and telecom diagnostics, and production-grade APIs, with hands-on work from bare metal to cloud. An active open-source contributor in the OCR space, he improved Tesseract integration and confidence reporting in pyocr, reflecting a practical focus on accuracy and data quality. Trained in systems biology (ETH Zurich), he brings analytical rigor and a product-minded approach that favors battle-tested technologies and long-term technical strategy.
10 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Systems Biology, Master of Science (MSc), Systems Biology at Eidgenössische Technische Hochschule ZürichBachelor of Science (BSc), Biology, General, Bachelor of Science (BSc), Biology, General at University of Lausanne (Switzerland)Summer School in Bioethics, Summer School in Bioethics at University of Helsinki
English, French, Italian, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
ocr10
optical-character-recognition10
lib10
python10
tesseract10
Programming languages (8)
Github contributions (5)
openpaperwork/pyocr
Nov 2017 - Nov 2017
A Python wrapper for Tesseract and Cuneiform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 4 PRs, 11 comments in 15 days
Contributions summary:Adriano focused on enhancing the pyocr library, particularly in handling Optical Character Recognition (OCR) output. They improved the integration with Tesseract, adding features to propagate OCR confidence to the output and specifying the legacy model for Tesseract 4. The user also implemented support for calculating confidence measures within libtesseract, affecting the handling and reporting of OCR results, and refactored the code for flexibility. These changes directly improve the accuracy and completeness of OCR results provided by the library.
python-wrapperpythoncuneiformtesseract
a-pagano/a-pagano.github.io
Jun 2016 - Jun 2019
Website hosted on github pages
Contributions:32 pushes, 1 branch in 3 years
hosted
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