Kartik is an AI researcher specializing in machine learning, computer vision, NLP, and speech processing. His work has been recognized in top conferences like IEEE TALE 2024 and T4E 2024. With expertise in deep learning and statistical modeling, he has contributed to research in speaker diarization, multimodal learning, and metacognitive regulation, developing scalable AI solutions across education, healthcare, and finance.

His research focuses on optimizing AI models for efficiency and integrating multimodal data for predictive intelligence. He has collaborated with a computation-funded lab at NIT Puducherry on energy-efficient deep learning for medical diagnostics and contributed to sentiment analysis and time-series modeling at the Robert Bosch Centre for Data Science and AI (IIT Madras). His interdisciplinary approach blends AI, cognitive science, and domain-specific applications to push the boundaries of artificial intelligence research.