Research Engineer · Software Architect · Neural Network Designer
Building lightweight, fast, and elegant models — from software architecture to tiny neural networks.
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.
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
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
- 📄 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
Tools, not identity. I pick what fits the model.
Languages — primary
Languages — coming next
Web & Markup
Frameworks
APIs
Architecture
ML & Research
Databases
Tools
| 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. |
Research — ORCID · ResearchGate · Web of Science
Writing — Medium · Dev.to · CoderLegion
Social — LinkedIn · Bluesky · Personal Website
"Lightweight, fast, simple — from architecture to neurons."