Full-Stack Data Applications

From Notebook to Product

The graveyard of data science is littered with brilliant models that never made it out of a local Python script. When data insights live only in static PDFs or isolated dashboards, their business impact is severely limited.

I bridge the gap between data science and software engineering. I build secure, scalable, and responsive web applications—primarily using Django, the robust framework that powers Instagram and Pinterest—to serve your data models natively on the web. Whether it's an internal tool for operations or a customer-facing AI portal, I deliver a complete, polished product.

Engineering Capabilities

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  Django & Python Architecture: Structuring maintainable MVT (Model-View-Template) ORM databases and backend logic.
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  API Development: Designing RESTful and GraphQL APIs using Django REST Framework for headless architectures.
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  Frontend Modernization: Integrating robust Python backends with dynamic JavaScript (React/Vue/Vanilla UI) and clean CSS for seamless UX.
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  Deployment & DevOps: Containerizing apps via Docker, deploying to AWS or DigitalOcean, and configuring caching (Redis), task queues (Celery), and CI/CD pipelines.