Karim's Portfolio

Hey,
I'm Karim

a computer science graduate with a keen interest in machine learning and data science

About Me

I recently graduated from the University of Leeds with a degree in Computer Science with AI, where I developed a strong foundation in machine learning and data science. My masters dissertation centered on the ARMADILLO project, where I worked on developing augmented reality systems for laparoscopic liver operations using computer vision and deep learning techniques. My primary focus involved creating a 3D segmentation model to identify biological landmarks on 3D liver models.

I'm now working a role in data and advanced analytics, applying my technical skills to real-world business challenges. I'm passionate about leveraging machine learning and data science to drive insights and innovation, and I'm always seeking new opportunities to expand my expertise in this rapidly evolving field!

Publications

Midline-Constrained Loss in the Anatomical Landmark Segmentation of 3D Liver Models

A.K. Abbas et al.

Medical Image Understanding and Analysis (MIUA 2025)

View Publication

Intraoperative Segmentation through Deep Learning and Mask Post-processing in Laparoscopic Liver Surgery

J. Borgars et al.

Medical Image Understanding and Analysis (MIUA 2025)

View Publication

My Projects

Masters Project

ARMADILLO: Augmented Reality Machine-Assisted Detection and Inference in Laparoscopic Liver Operations

Python Deep Learning Computer Vision AR Medical AI

Third Year Project

Enhancing University Learning with Retrieval-Augmented Generation and GPT-3.5 Fine-Tuning

Python RAG GPT-3.5 Fine-Tuning NLP

Spotify Song Recommendations

A data science project focused on generating personalised playlist recommendations using cosine similarity

Python Scikit-learn NumPy Pandas Data Science

Airbnb SQL Market Analysis

An in-depth analysis of Airbnb data. Utilised SQL for data organization and extraction.

Python MySQL Tableau Scikit-learn Data Analysis

Predicting Cancer Mortality

Developing a regression model to predict cancer mortality rates in various US counties

Python Scikit-learn Seaborn Pandas Machine Learning

Titanic Survival Rate

Predicting survival through data preprocessing, feature engineering, and advanced machine learning techniques.

Python Scikit-learn NumPy Pandas Machine Learning

Minerva WebScraper

Created a web scraper to collect lecture files from Minerva Blackboard (used in third year project)

Python Selenium ChromeDriver Web Scraping