MIND
Cognitive ScienceExplore cognition, learning, perception, memory and communication—and what these mean for the future of AI.
I help students, educators and professionals understand how human language becomes technology—and how emerging AI is transforming the way we work with language.
20 years at the intersection of computational linguistics, NLP, multilingual AI, GenAI and training.
My work brings together linguistics, language technologies and human cognition to help learners see how intelligent systems process, represent and generate language.
Explore cognition, learning, perception, memory and communication—and what these mean for the future of AI.
Understand how language works and how machines represent, process and generate human language.
Go beyond the hype to understand modern AI systems, evaluation, prompting and human–AI interaction.
My background in Computational Linguistics spans machine translation, conversational AI, multilingual NLP, and GenAI evaluation. Today, I translate that deep technical foundation into high-impact training for the people building—and working alongside—AI.
Ph.D. research at IIT Bombay — Thesis: A Study of the Complex Predicates of Hindi & Automatic Extraction. Specialization: Lexical semantics, ontologies, and knowledge-base structures.
Indian-language speech-to-speech and text-to-speech systems at C-DAC Pune.
Bengali and Hindi conversational-AI development: annotation, grammar design, style guide & response template creation.
Multilingual evaluation standards, rubrics, error taxonomies, prompt engineering, calibration and culturally aware assessment.
Curricula, onboarding, practice banks, assessment matrices, workshops and learner enablement.
AI & language career exploration
Build foundations for the next generation of AI and language professionals
Practical NLP, GenAI and AI evaluation skills
AI literacy, language AI and customized capability building
I combine conceptual foundations, real-world examples, hands-on practice and structured evaluation to turn complex AI concepts into usable skills.
Build conceptual understanding
Use realistic AI and language examples
Apply the ideas hands-on
Use meaningful criteria and exercises
Learn through feedback and reflection
Turn learning into reusable skills
Six connected learning tracks spanning linguistics, knowledge representation, NLP, multilingual technologies, Generative AI and the social dimensions of language.
Linguistics & Computational Linguistics
Understand the linguistic foundations behind intelligent systems.
Lexical & Knowledge Base Structures
Explore how words, meanings and concepts become structured knowledge.
NLP, NLU, Machine Learning & Evaluation
Understand how language AI is trained, tested and improved.
Language Technologies
Explore technologies that translate, transform and localize human language.
Generative AI & LLMs
Go beyond prompting to understand context, quality and evaluation.
Socio & Cultural Linguistics
Explore how variation, culture and context shape language—and AI quality.
Exploratory programs for school and university audiences connecting AI with cognition, language and the changing world of work.
Explore how humans think, learn, perceive and communicate—and what this reveals about AI.
Discover the interdisciplinary field of Cognitive Science and the careers emerging around it.
Explore the growing ecosystem of AI roles where language, cognition, evaluation and human expertise matter.
Programs can be tailored to the audience, depth and learning objective.
I design talks, workshops and customized learning programs for schools, universities and organizations.