Hi, I'm Mohammad Sufiyaan Khan! 👋
MSc AI student at King's College London | Passionate about leveraging machine learning for climate solutions and high-impact research | Bridging rigorous ML innovation with real-world applications.
I'm a dedicated ML enthusiast, diving deep into the latest from NeurIPS and ICML, with a keen eye on weather forecasting breakthroughs like GraphCast and Pangu-Weather. My fascination lies in transformers, graph neural networks, and spatiotemporal modeling—tools I'm using to tackle complex challenges in climate science and beyond.
With 66+ certifications under my belt, I've honed my ability to rapidly master new domains, from attention mechanisms and neural operators to uncertainty quantification. My published research showcases hands-on expertise in conducting experiments and delivering clear insights.
🔭 Currently Working On
- MSc dissertation at King's College London: Exploring ML applications in computer vision, including emotion recognition and spatiotemporal prediction systems.
- Research Assistant role: Modeling decentralized trading networks for continuous bilateral execution in OTC markets.
👯 Open to Collaborating On
- AI/ML projects in computer vision, NLP, robotics, or climate AI. Hop on let's build something transformative!
🤝 Seeking Guidance On
- Scaling ML deployments, agentic AI systems, and federated learning frameworks.
🌱 Currently Learning
- Advanced deep learning architectures (transformers & GNNs), plus brushing up on German for global collaborations.
💬 Ask Me About
- Machine learning fundamentals, computer vision pipelines, TensorFlow/PyTorch workflows, emotion recognition tech, or life as an international student at King's College London.
⚡ Fun Fact
- I juggle a full master's workload with 66+ certs because learning new tech is my ultimate hobby, I've even built models for gaze detection, cancer risk prediction, and real-time gas monitoring!
Check out my projects below, and feel free to connect on LinkedIn or drop me a line at ksufiyaan1124@gmail.com. Let's innovate together! 🚀
