I’m fascinated by what happens between a messy dataset and a product that people can actually use.
That curiosity is why I’m learning data engineering, machine learning, AI, DevOps, and full-stack development. To me, they are not five unrelated job titles. They are different parts of the same journey: collect trustworthy data, learn from it, turn the result into a useful application, and ship it reliably.
I’m currently studying Software Engineering at Eastern Mediterranean University. My strongest practical experience is in web development, APIs, databases, and application architecture. Now I’m going deeper into Python, data systems, machine learning, cloud infrastructure, and automation.
I do not want to build models that live only inside notebooks. I want to build complete systems that work in the real world.
| Area | What interests me |
|---|---|
| 🗄️ Data Engineering | Clean pipelines, ETL/ELT, SQL, data quality, warehouses, and streaming systems |
| 🧠 Machine Learning & AI | Useful models, careful evaluation, intelligent features, and production AI |
| ☁️ DevOps & Cloud | Containers, CI/CD, infrastructure, monitoring, and dependable deployments |
| 🌐 Full-Stack Engineering | Interfaces, APIs, databases, testing, security, and maintainable architecture |
Shopera is the largest system I have worked on so far. It includes separate experiences for buyers, sellers, and administrators—not just a product page and shopping cart.
- Sellers manage stores, products, variants, inventory, orders, and notifications.
- Buyers browse products, manage addresses, check out, track orders, and review delivered purchases.
- The application uses a React/Vite frontend with a backend-ready API layer and SQL-based data model.
- I have focused on realistic product identity, checkout safety, DTO mapping, role-aware access, testing, and maintainable folder structure.
This project is teaching me how many small engineering decisions must work together before software feels reliable.
See the stack as a list
| Category | Technologies |
|---|---|
| Languages | Java, Python, JavaScript, C, C#, SQL |
| Frontend | React, HTML, CSS, Bootstrap, EJS, jQuery |
| Backend | Node.js, ASP.NET, REST APIs |
| Databases | PostgreSQL, MySQL, Oracle, SQL Server |
| Workflow | Git, GitHub, Postman, VS Code, IntelliJ IDEA |
| Design & Quality | Figma, Canva, API testing, manual testing, debugging |
I prefer being honest about this section: these are technologies I am actively moving toward, not tools I claim to have mastered.
| Now | Next | Later |
|---|---|---|
| Python, SQL, DSA, backend APIs | Pandas, NumPy, scikit-learn, ETL, Docker, CI/CD | Spark, Airflow, Kafka, cloud, Kubernetes, MLOps |
Language statistics are calculated from public repositories; they are not a measurement of overall skill.
- I speak English, Farsi, Pashto, and Urdu.
- I enjoy learning by building, breaking, debugging, and rebuilding.
- I care more about understanding why something works than memorising one solution.
- I’m open to internships, junior roles, research projects, and serious collaborations.
If you are working on data, AI, cloud infrastructure, or a useful software product, I would be happy to hear about it.
