Tamaghna Nag

Machine Learning Engineer with multi-domain experience in AI research, model deployment, and full-stack ML integration. Proven track record in developing scalable vision-based systems, optimizing ML pipelines using TensorFlow and PyTorch, and deploying solutions for real-time industrial applications. Skilled in reinforcement learning, LLM-based architectures, and cross-functional project leadership across both startups and enterprise environments.
 

Completed an MSc in Computer Science from the University of Warwick, with a strong focus on artificial intelligence and machine learning. Specialized in intelligent systems and real-time optimization, culminating in a thesis on AI-based traffic management. Holds a BTech in Computer Science and Engineering with first-class distinction.