Madhavik Dogra is an AI/ML engineer and tinkerer with fascination in linguistics, biology & robotics. His work focuses on the intersection of artificial intelligence and biology, exploring how machines can better understand and generate natural language like humans do.
With a background spanning multiple disciplines, Madhavik brings a unique perspective to the field of machine learning. His interests in biology inform his approach to creating more natural and intuitive AI systems, while his passion for robotics drives his exploration of embodied intelligence.
When not immersed in coding and reading, Madhavik enjoys exploring the implications of artificial organisms and the future of human-machine interaction. His blog serves as a platform to share insights, discoveries, and thoughts on the rapidly evolving landscape of AI technology.
Areas of Expertise
Artificial Intelligence
Machine learning algorithms, deep learning architectures, knowledge representation, information retrieval, reinforcement learning, and bio-inspired computing.
Linguistics
Computational linguistics, natural language processing, word-sense disambiguation, morphology, language history, etymology, and knowledge-driven semantics.
Biology
Biotechnology, bioinformatics, computational biology, systems biology, synthetic biology, bio-inspired computing, biorobotics, and bio-inspired engineering.
Robotics
Autonomous systems, embodied intelligence, physical AI, mechatronics, human-robot interaction, systems engineering, biorobotics, and bio-inspired engineering.