Zahra H.
Machine Learning Developer @The Hospital for Sick Children
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WORK HISTORY
Machine Learning Developer @The Hospital for Sick Children
Built an automated system to recommend radiology protocols, reducing clinical variability and improving diagnostic consistency.Designed and fine-tuned LLMs locally to map free-text imaging requests to CT protocols, ensuring patient data privacy.Developed a full MLOps pipeline with FastAPI, Docker, and Azure Cloud, including CI/CD automation, monitoring, and logging.Processed pediatric liver MRI datasets for segmentation tasks using visual and textual vectorization.Developed an end-to-end pipeline for pediatric liver lesion segmentation and classification (in progress).Organized a hospital-wide ML reading group, fostering collaboration among researchers and engineers.
EDUCATION
Iran University of Science and Technology
Computer Engineering
Farzanegan1 Highschool
High School Diploma
York University
Master's degree
ABOUT ZAHRA H.
I’m a Machine Learning Engineer with a Master’s in Computer Engineering, specializing in applied AI solutions across healthcare, computer vision, and NLP. My recent work includes deploying LLM-powered clinical tools in radiology, developing deep learning pipelines for medical image segmentation, and building scalable ML systems that integrate research with real-world applications. I have hands-on experience with PyTorch, PyTorch Lightning, Hugging Face, and production-ready MLOps tools like Docker, Azure. My background spans generative modeling, 3D geometry, and transformer-based NLP, with a strong focus on translating complex data into actionable insights. I’m passionate about interdisciplinary collaboration, turning research ideas into functional, user-centered systems. I thrive in environments where I can wear multiple hats, learn continuously, and contribute to fast-growing, innovative projects.
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