Hi, I'm Hussein Mahdi

Research Engineer · Software Architect · Neural Network Designer
Building lightweight, fast, and elegant models — from software architecture to tiny neural networks.

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About

I'm a Research Engineer at Era Vision, working at the intersection of software engineering and applied AI research. My work is guided by a single ambition: building lightweight, fast, and simple models for the fields I care about — without compromising on rigor or elegance.

I started as a programmer, grew into a developer, then a software engineer, and now I architect systems and design neural networks. Languages, frameworks, and platforms are tools — what matters is the model, the architecture, the idea behind them. I read deeply into mathematics and the philosophy of software development because I believe simplicity is earned, not assumed.

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Core Disciplines

Software Engineering

• Software engineering & systems design
• Software architectures — Clean, Onion, Hexagonal
• Modern software development methodologies
• Lightweight software development

AI & Deep Learning

• Neural network engineering
• Graph theory & graph neural networks
• Micro / tiny neural networks
• Algorithm design

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Application Fields

Where I apply lightweight, fast models:

Bioinformatics & Chemistry (current research) · Graph Neural Networks · Computer Vision · Signal Processing · Compression Sensing · Information Warfare · Radar Systems & IAMD

📂 Detailed analyses across these fields → Hu8MA/Papers

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Current Work 2025-now

• 📄 Author of H²GNN — accepted at ECAI-2026 IEEE Bucharest (July 2026)
• 📑 Two additional papers under peer review (IEEE Indonesia · Kufa Engineering Journal)
• 🔬 Research Engineer at Era Vision — translating ML research into deployable systems
• 🎓 MSc candidate at University of Babylon — graduating 2026
• ✍️ Author of the Mastering Pandas series and others on Medium — building more technical courses next

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Tech Stack

Tools, not identity. I pick what fits the model.

Languages — primary

Languages — coming next

Web & Markup

Frameworks

APIs

(next) (next)

Architecture

ML & Research

Databases

(next) (next)

Tools

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Featured Work

Repository	Description
H²GNN	A hierarchical hypergraph-based deep learning framework for predicting drug-drug interactions (DDIs). built in Python.
Papers	Research analyses across Computer Vision, Graph Neural Networks, Information Warfare, and Software Engineering.
Algorithms Library	A research-grade collection of algorithms spanning machine learning, problem solving, memory management, OS, and information security. built in Java.
Full Template(Web_API)	Production-ready .NET 6 Web API template with JWT, Identity, Entity Framework, and clean RESTful architecture. built in C#.
Web Application API	Enterprise web API built on ASP.NET Core 8.0 implementing MVVM alongside Clean Architecture. built in C#.
Attendance QR Code	Android-based student attendance system using QR code technology, built in Java.

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Find Me Elsewhere

Research — ORCID · ResearchGate · Web of Science

Writing — Medium · Dev.to · CoderLegion

Social — LinkedIn · Bluesky · Personal Website

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GitHub Stats

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"Lightweight, fast, simple — from architecture to neurons."