- 🌱 Create free educational content about Python, Machine/Deep Learning, etc. and open-source it under 'TeachingDataScience' repository here.
- 👯 Counsel for Mid-career transition to Data Science. My own transition is here and here is my TEDX talk on this topic. General Learning Path for such transition is here.
- 💬 Run office hours for any technical or career coaching queries, on Saturdays 2 to 5 pm (India time). Feel free to send email for appointment to my firstnamelastname at yahoo dot com . More details here and here
- 📫 Post on LinkedIn regarding AI-ML and allied topics. I would be very happy if you follow me there. 😊
- ⚡ Publish my blogs-stories on Medium as well. Feel free to follow me here.
Position as a coach, an advisor and a thought leader in a pioneering a transformative approach to strategic innovation through a MicroSaaS methodology focused on unlocking hidden potential. Not Looking for Success but for Wonder!!
Graphs are everywhere—social networks, molecular structures, geometric shapes, and more. But what happens when we take graphs a step further? Knowledge Graphs bring us even closer to modeling reality, unlocking new AI possibilities. 🚀
Here's what I'm currently exploring in this space:
✅ Graph RAG – Retrieving relational contexts beyond similarity, building a chatbot on Indic wisdom 📜🤖
✅ Graph Neural Networks (GNNs) – Learning embeddings for predictions/classifications, a consulting project, presentations here
✅ Geometric Deep Learning – Developing invariant representations for tasks like dimensionality reduction - MidcurveNN
✅ Graph-based Agents – Automating workflows with intelligent agents, potential MicroSaaS idea 💡, that's here
Thank you 🙏