I will implement deep learning models and research papers in pytorch

Turn complex AI research papers and deep learning concepts into clean code.

Translating dense academic papers into working models is time-consuming. As an active ML Researcher, I help students, researchers, and startups bring complex algorithms to life.

What I deliver:

• Research Implementation: Translating complex paper architectures into functional, documented PyTorch code.
• Custom Deep Learning: Building CNNs and Graph Neural Networks (GNNs) for your unique datasets.
• Traditional ML: Robust baseline models for tabular or agricultural data (CatBoost, SVMs).

Tech Stack: PyTorch | Python | Deep Learning | GNNs | Computer Vision

I write efficient, reproducible, and scalable code.

Important: Please message me before ordering to discuss your dataset and the specific paper you need implemented!