Backend developer focused on scalable APIs, data-heavy systems, and practical machine learning.
- I build backend systems with a strong focus on APIs, databases, and maintainable architecture.
- My main stack is Python, Django, Django REST Framework, FastAPI, PostgreSQL, and GraphQL.
- I also work with Node.js, Express, Docker, AWS, Redis, and CI/CD tooling when the project needs it.
- Right now I am deepening my skills in machine learning, Kubernetes, DevOps, and system design.
- I enjoy projects where product thinking, performance, and clean engineering all matter.
- API design and backend development for real-world applications
- Database design, query optimization, and data modeling
- Authentication, integrations, and service-to-service workflows
- Practical engineering across deployment, debugging, and automation
- A growing ML foundation with interest in production-ready intelligent systems
- Building backend projects that are reliable, scalable, and easy to extend
- Strengthening ML fundamentals and applying them to hands-on projects
- Learning infrastructure patterns around Docker, Kubernetes, and cloud deployment
- Improving system design thinking for larger distributed applications
- Backend engineering opportunities
- Collaboration on Python, API, and ML projects
- Conversations about databases, architecture, and scaling systems