3rd-year Computer Science student, passionate about Machine Learning, AI, and building AI-integrated backend systems. I enjoy turning ideas into reliable services—training/serving models, designing APIs, and shipping backend features that are measurable, maintainable, and scalable.
- Focus: ML/AI, backend engineering, and production-ready APIs
- Interested in: model deployment, inference optimization, data pipelines, and backend architecture
- Always learning: modern ML tooling + clean system design
- Python
- C
- C++
- Django
- FastAPI
- REST APIs, authentication, background tasks, database design
- PyTorch
- TensorFlow / Keras
- scikit-learn
- Jupyter, experiment tracking, model evaluation & deployment patterns
- Docker
- CI/CD
- Render
- Production configuration, automation, deployments
- AI-powered backend services (model inference behind clean APIs)
- ML experiments → production pipelines (reproducibility + monitoring mindset)
- Practical tools that solve real problems, not just demos
- GitHub: @valiyyaddin
- LinkedIn: https://www.linkedin.com/in/valiyyaddin-aliyev/

