Skills &practice.
From a model in a notebook to something people can use. The tools change; making the pieces work together is the interesting part.
Learning
from data.
I work with classification, computer vision and model evaluation. My experiments include real-time hand-sign detection, handwritten-digit recognition and prediction with structured data.
Python / PyTorch / OpenCV
Scikit-learn / Pandas / NumPy
Context
matters.
My academic work explores retrieval-augmented generation: bringing relevant documents into an assistant's workflow, then evaluating the responses and refining the retrieval.
LangChain / ChromaDB
Hugging Face / Streamlit
Making it
work together.
I build responsive interfaces and practise the systems underneath them. Web projects, a C shell and this portfolio give me different ways to work on structure, interaction and debugging.
JavaScript / React / GSAP / Three.js
C / Git / Docker / Linux