I am a machine learning researcher and developer specializing in designing, debugging, and deploying ML models across diverse industries, including:

• Autonomous vehicles 🚗
• Intelligent transportation 🛣️
• Antibody discovery 🧬
• Computer vision 📸

During my PhD at the University of Waterloo, I contributed to the field of machine learning by proposing novel, robust, and explainable AI models using causality-driven approaches, leveraging strong analytical skills in theorem proving, statistical reasoning, and optimization.

• Develop and deploy machine learning models for real-world applications
• Research robust and explainable AI methods
• Work on projects bridging industry and academia
• Continuously explore the latest AI innovations

• Machine Learning & Deep Learning: Model design, training, evaluation
• Causality & Explainable AI: Building interpretable and provable models
• Optimization & Statistical Analysis: Theory-driven approaches for ML
• Software Development: Python, PyTorch, TensorFlow, and deployment pipelines

• Causality in AI
• Explainable and trustworthy machine learning
• Data fusion and multi-modal ML
• Real-world applications of ML in industry and research

• GitHub: github.com/sshirahmad
• LinkedIn: linkedin.com/in/shayan-shirahmad-gale-bagi)
• Email: [email protected]

"Building AI that is both powerful and understandable."