Professional Overview
I'm a PhD researcher at Khalifa University (Abu Dhabi) working on diffusion models and deep learning for medical image processing. I build and train models end to end in PyTorch: diffusion models and U-Nets for medical imaging, on my own 2x RTX 4090 workstation. Before my PhD I trained reinforcement-learning policies at DiDi, where my model improved a key business metric by 0.87% in the Mexico market. Two Best Paper awards (IWSSIP 2024, iWRF&AT 2024). I help teams with computer vision and generative-model prototypes, model training and evaluation, reproducible ML pipelines, and expert AI training/evaluation tasks. Based in GMT+4, overlapping with Europe and Asia.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built an offline-to-online RL algorithm for order waiting time
- Trained policies on logged ride-hailing data to raise driver earnings
- Shipped the model to production in the Mexico market
Key Achievements / KPIs
- Increased platform transaction volume by 0.87% in Mexico
Education
Field of Study: Medical Image Processing
Field of Study: Information and Communication Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
