👋 Hi, I’m Mani Majd
🎓 I’m an Engineering Science student at the University of Toronto, intending to specialize in Robotics with a strong interest in Artificial Intelligence and Machine Learning. I’m passionate about building intelligent systems that bridge the gap between software and the physical world.
🧠 I’m currently conducting research on Spiking Neural Networks (SNNs) under the supervision of Professor Amirsoleimani at the LCRAIn Lab. My work focuses on designing energy-efficient deep learning models using snnTorch and PyTorch, with the goal of deploying them on neuromorphic hardware like FPGAs for real-time, low-power inference. I’m particularly interested in exploring the biomedical applications of SNNs.
🤖 I’m deeply passionate about robotics, especially perception, autonomy, and how intelligent algorithms can enhance how machines interact with the real world. Whether it’s through SNN-based control or embedded AI, I’m always excited to explore the intersection of robotics and machine learning.
💡 Outside of research, I’ve built a wide range of projects, from an AI Gomoku game engine and content-aware image resizer in C, to an LSTM-based weather forecasting model and a semantic similarity analyzer in Python. I love prototyping, testing, and learning with every build.
🌍 I enjoy collaborative, impact-driven work and I’m always looking for opportunities to contribute to open-source projects, research groups, or interdisciplinary teams at the intersection of AI, robotics, and human-centered design.
📬 Let’s connect! Feel free to explore my repositories or reach out—whether you’re into SNNs, robotics, or just building cool things that learn.
