Rehan Shafique

I am a Data Scientist and AI Engineer, currently pursuing a Master of Science in Information Technologies (AI specialization) at EPITECH Paris, with over a year of professional experience in designing large-scale AI and data systems.

At Analytiverse, I worked on evaluating language models and RLHF workflows — analyzing model outputs, applying structured feedback to improve prediction quality and instruction following. I also designed a scalable ETL pipeline processing over 100 million records with Python, pandas, SQLite, and Selenium.

My research was published by Springer (2025), where I developed a custom U-Net architecture for lumbar spine MRI segmentation, achieving a Dice Score of 94.7% — one of the best results in the field.

I am perfectly fluent in English, comfortable in international and startup environments, and deliver clean, well-documented code.

- Development and evaluation of machine learning models

- Data pipelines and ETL on large volumes

- Deep learning and computer vision

- AI model quality testing and RLHF annotation workflows

- Web scraping, data cleaning, and feature engineering

- Data visualization and dashboards (Tableau, Matplotlib)

I usually respond within a few hours of receiving a proposal.