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

Active Projects

Master's Dissertation

I’m conducting primary research on deep learning techniques for low-light object detection. My work involves evaluating models such as YOLO and Faster R-CNN using PyTorch, leveraging Kaggle for dataset exploration and experimentation.

Personal Site

This site is built with Next.js and hosted on Vercel. I’ve integrated it with Notion, allowing me to dynamically render new pages directly from my Notion database.