Curriculum Vitae

Education

2022 – 2024: AI R&D Engineer @ Qatar Mobility Innovations Center (QMIC)
- Developed real-time object tracking systems using YOLOv4-v7 for national and large-scale applications, including FIFA World Cup 2022, achieving 95% accuracy.
- Optimized models for edge computing on Jetson Xavier and Nano using TensorRT, ONNX, and CUDA, enabling low-latency inference on live RTSP video streams in both server and edge environments.
- Implemented logging and modular AI pipelines using Docker for effective deployment of AI applications.
- Collaborated with cross-functional teams (software and field engineers) using Git and Jira to seamlessly visualize data into dashboards.
2019 – 2021: Deep Learning Graduate Researcher @ University of Waterloo
- Researched and implemented deep learning models (CNN, LSTM, Transformers) for crop yield and price time series forecasting, improving accuracy by 70\% against baselines.
- Curated and pre-processed time series datasets handling gaps, normalization, and feature engineering.
- Built and deployed an application for data visualization to enhance stakeholder decision-making at Loblaw Companies Ltd.
- Collaborated with team researchers and published four peer-reviewed papers at international AI conferences.