Skills
Over the past few years at ETH Zürich, I’ve developed a strong and practical foundation in core computer science concepts. From low level systems and compiler design to machine learning and application development. I’ve worked with a wide range of tools and languages through real projects, and I enjoy writing clean, structured code that solves real problems.
Programming Languages
Comfortable writing and debugging code in multiple paradigms, from object-oriented to functional.
Machine Learning & Data
NumPy, PyTorch, matplotlib
Applied machine learning in coursework and projects, with a focus on deep learning and visual computing.
Systems & Tools
Figma, Git, VS Code, Eclipse, x86Lite, LLVM IR
Comfortable working in Unix-based environments. configured network simulations, and worked on lower level code generation in compiler pipelines.
Mathematics & Logic
Discrete Mathematics, Linear Algebra, Analysis Formal Methods, and more.
Strong mathematical background, essential to my interest in both low-level systems and machine learning.
