
Breaking barriers in coding education
An edited interview on multilingual Python learning, personalized examples and stories, and the classroom design of Python Ki Pathshala.
Read my interviewI bring computer science research into everyday learning—building AI tools, sharing practical knowledge, and helping people use AI with confidence and care.
Follow along for practical AI ideas and learning resources.

In the classroom with IndianOil professionals. Explore the engagements
Educational contributions published by
OpenAIEducation newsletter & AcademyUniversity of OxfordAI in Education at Oxford UniversityIIT KanpurE&ICT Academy learning resourcesReported in the official CV. Outreach is an estimate; YouTube figures are the July 2026 snapshot. View the complete CV

An edited interview on multilingual Python learning, personalized examples and stories, and the classroom design of Python Ki Pathshala.
Read my interviewAn authored article on programming, computational thinking and learning in an AI-driven world, published on Oxford’s AIEOU platform.
Read the articleA demonstration of Python Ki Pathshala and its use of familiar examples and stories to make programming learning more accessible.
Watch on OpenAI AcademyIncluded in OpenAI’s roundup of educator-built GPTs, with Hindi and English Python lessons connected to learners’ interests.
Read the feature
A beginner-friendly course covering AI foundations, practical prompting, reusable assistants, intelligent workflows, agents and responsible use.
Self-paced programmeExplore the courseFrom the mathematics of networks to a learner’s first line of Python, my work connects foundations with what people can actually do.
Meet the researcher & educatorLearning experiences that make AI approachable, useful, and accountable.
Practical systems that connect reasoning, tools, and human judgment.
Thoughtful prompts and purpose-built tutors for real learning needs.
Stronger research workflows, with verification at every important step.
Privacy, evaluation, and the decisions that keep people in control.
Useful applications for institutions, organizations, and everyday work.
Rigorous foundations in graphs, algorithms, and network intelligence.



A programming companion that meets learners in their own language—with Hindi, English, Hinglish, familiar metaphors, and step-by-step explanations.
Try the learning companionRead the story behind itfor ball in range(1, 7):
print("Bowl delivery", ball)Illustrative learning example. Try the live tutor in ChatGPT.
Explore probability, calculus, AI, and computer science by changing something and seeing what happens.
Open the learning labsPractical Generative AI learning through the E&ICT Academy, IIT Kanpur programme.
Explore the courseA Chrome extension that helps connect selected Google Drive files with ChatGPT workflows.
Explore the extensionA demonstration of Python Ki Pathshala and personalized programming support with ChatGPT.
Watch on YouTubePractical ChatGPT tips for getting more useful responses.
Watch on YouTubeA practical workflow for distributing exam results efficiently.
Watch on YouTubeSelect a video to load the YouTube player. YouTube receives playback data only after you choose to play.

My foundations are in theoretical computer science, graph theory, and graph neural networks. Today, that same curiosity shapes how I think about Generative AI: not just what it can produce, but how it can help people understand.
At MNIT Jaipur and through open educational resources, I connect research, classroom practice, and accessible technology.
More about my journeyHave an idea for an AI workshop, a research conversation, or a learning initiative? I would love to hear about it.