Stack

Languages & Frameworks

My primary programming language is Python, which I use extensively for backend development, AI research, and data analytics.

For backend frameworks, I work with Django and FastAPI, leveraging them to build scalable, high-performance APIs and web applications. On the frontend, my go-to stack is Next.js with TypeScript and Tailwind CSS, which I use for creating dynamic and responsive user interfaces.

I occasionally work with Express.js for certain use cases that require Node.js.

Databases

I mostly use PostgreSQL, but I have experience with other relational databases, including MySQL. Recently, I find myself preferring Supabase in every personal project, irrespective of size and complexity.

AI & Deep Learning

My go-to tool for model development is PyTorch and I have recently started to work with Transformers and the Hugging Face ecosystem for training and fine-tuning models.

I integrate v0 to generate boilerplate components on the fly, streamlining development workflows, and leverage DeepSeek’s reasoning model for debugging issues.

DevOps & Tools

I work with a range of tools and technologies to ensure scalability and efficiency in my projects:

Kubernetes, Docker, Docker Compose, PyTorch, Redis, Flask, Express, Supabase, Hugging Face Transformers