Building high-performance mobile applications powered by scalable backends and intelligent AI models.
Mobile:
Backend & DB:
AI & Deep Learning:
Systems & Tools:
AI-powered recipe recommendation ecosystem helping users cook based on available ingredients.
- Mobile & Backend: Developed cross-platform app using Flutter (BLoC) and Django REST Framework with 20+ API endpoints.
- AI Integration: Integrated LLM APIs for intelligent recipe generation and personalized suggestions.
- 🌐 Live Web App: zanahub.shop
Experimental deep learning framework written in C from scratch.
- Core Engine: Built custom dynamic computation graph and automatic differentiation (autograd).
- Goal: Deeply understanding neural network mechanics and memory layout without high-level wrappers.
- 📂 Repo: github.com/mobin-abdi/zanaflow
- 🧪 Training deep neural network architectures & Transformers using PyTorch.
- 📱 Designing scalable, production-ready Flutter applications.
- ⚙️ Deep-diving into machine learning algorithms and low-level code optimizations.
