I'm Thayaananthan Kanagaraj

I am an AI/ML Engineer and Data Scientist with a strong focus on building scalable, high-impact AI systems. Currently pursuing a Master’s in Robotics and Artificial Intelligence at Arizona State University, where I also serve as a Research Assistant working on agent-based models translated into Graph Neural Network (GNN) frameworks for complex system modeling. I bring hands-on experience in applying Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Explainable AI, and Multi-Agent Systems to real-world problems. My background combines both technical depth and practical execution. I have worked extensively with Python, PyTorch, TensorFlow, and cloud platforms like AWS and GCP, translating advanced AI concepts into production-ready solutions. I thrive in dynamic environments where rapid iteration, problem-solving, and collaboration are key, and I enjoy delivering solutions that are not only technically sound but also impactful at scale. I have also led and collaborated with distributed teams across multiple time zones, which has strengthened my ability to manage projects, communicate effectively, and drive results under pressure. My long-term goal is to continue growing as an AI/ML engineer in industry, applying advanced techniques to create solutions that are efficient, explainable, and valuable to end users.