Zahra Gharaee, Ph.D.
Toronto, ON, Canada
- 7+ years of experience in cross-functional teams, leading cross-industry projects across diverse machine learning domains.
- Demonstrated successful leadership and management in multiple projects, achieving notable outcomes.
- Expertise in building, debugging, and deploying resilient machine learning and deep learning models.
- Developed scalable data solutions using TensorFlow and PyTorch, prioritizing usability and feasibility.
- Released several datasets and code repositories, and published papers at prestigious venues such as NeurIPS and ICML.
- Developed robust data pipelines for automated data ingestion and preprocessing, significantly improving data accessibility and reducing processing times.
- Collaborated with multidisciplinary teams, effectively communicating complex concepts to non-technical stakeholders and ensuring alignment on project objectives and deliverables.
- Actively involved in mentoring and supervising junior researchers on best practices for conducting projects, as well as writing and presenting research outcomes.
- Served as a reviewer for multiple high-impact journals and conferences, providing constructive feedback to enhance the quality of research submissions and ensuring rigorous academic standards.
About me
Expertise
- Machine learning
- Artificial Intelligence
- Biotechnology
- Neural Networks
- Deep Learning
- LLMs
- Computer Vision
- Pattern Recognition
- Feature Engineering
- Big Data Analytics
- Statistical Processing
- Data Science
- Supervised Learning
- Classification
- Unsupervised Learning
- Clustering
- Graph Convolutional Networks
- Causal Inference
- Generative AI
- Variational Autoencoders
- 3D Shape Reconstruction
