Mehdi Seifi
Bioimage Analyst And Research Software Engineer at Human Technopole
Milan, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolMehdi Seifi is a Bioimage Analyst and Research Software Engineer based in Milan with over a decade of hands-on experience building research-grade software and machine learning solutions. He combines a Master's in Artificial Intelligence with 15+ years of object-oriented and functional programming expertise, primarily in Python, and four years focused on designing and optimizing deep learning methods. As a freelancer and team contributor he has delivered cross-platform applications from desktop to web and contributed notable tooling work to the high-profile three.js ecosystem via its Blender exporter. His background spans bioimage analysis, financial time-series ML, and sustainability-focused software for water management, reflecting a practical knack for translating domain problems into reliable code. A self-motivated researcher, he balances idea-driven experimentation with disciplined project delivery across academic and industry settings.
11 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Marine Biology and Biological Oceanography, Bachelor's degree, Marine Biology and Biological Oceanography at Shahid Chamran University of Ahvaz (Jundi Shapur)Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Ferdowsi University of Mashhad
Stackoverflow
515reputation
319kreached
12answers
6questions
Github Skills (11)
javascript10
blender10
python10
3d10
webgl9
file-handling6
threejs6
collision-detection6
interpreter6
uv-mapping6
augmented-reality5
Programming languages (11)
Github contributions (5)
mrdoob/three.js
Feb 2015 - Jun 2017
JavaScript 3D Library.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 commits, 4 PRs, 15 comments in 2 years 4 months
Contributions summary:Mehdi primarily worked on the Blender exporter for the three.js library. Their contributions focused on adding functionality to the exporter, including support for texture folders and bump/normal map scales. They also addressed a bug related to the visibility of objects within the exported models and made modifications to the exporter's API and constants. Furthermore, the user updated the version of the blender add-on.
virtual-realitysvgwebglcanvasjavascript
juglab/featureforest
Jan 2024 - Apr 2025
A napari plugin for making image annotation using feature space of vision transformers and Random Forest classifier
Contributions:5 releases, 12 reviews, 37 PRs in 1 year 2 months
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