About Me

Writing minimal code, preferring abstractions and obsessing off optimising pipeline latency. When it comes to ML, I default to end-to-end deep learning over hand-crafted feature engineering.

Visual Studio Code, Docker, Google Colab, and uv form my core development setup. I rely heavily on agentic coding to eliminate boilerplate and accelerate implementation.

I truly believe AI has the potential to change the world. It's a tool for solving complex problems and improving daily life. With an e/acc mindset, I want to help accelerate that future.

Any uncharted problem with no pre-existing playbook. I love tearing down an open challenge, building from first principles, and finding the best model that actually cracks it.

I focus on building projects and reading research papers. The key is to keep experimenting and learning, there's always something new to learn.