Modular AI chatbot platform
A series of chatbots, each a step further: from a basic prototype to one with memory, tools and a database behind it.
What makes a chatbot useful is memory and tools, not the model alone.
Staff Product Manager at Palo Alto Networks, on mobile authentication. Product at WSAudiology, Quixy and Cognizant before that.
What Sidhartha wrote about the course after Cohort 08. These are real people with real portfolios, not marketing copy. Want to talk to Sidhartha? I’ll intro you.
I joined Curious PM to understand where AI fits across the product lifecycle, and the hands-on projects were the real differentiator.
Instead of just studying AI, I built with it, which gave me the technical depth to make better product decisions.
It also changed how I approach discovery, ideation and delivery, helping me validate ideas and ship faster with tighter feedback loops.
✓✓Built with AI, not just studied it.
Technical depth for better product decisions.
Faster shipping, tighter feedback loops.
Cognizant
Quixy
WSAudiology
Palo Alto Networks
Cohort 08, August 2026
A series of chatbots, each a step further: from a basic prototype to one with memory, tools and a database behind it.
What makes a chatbot useful is memory and tools, not the model alone.
Turns podcast episodes into vector embeddings, so you can ask a question and get the answer from what was actually said.
How retrieval keeps an answer grounded in real content.
One agent loop that searches and reads the web, remembers you between sessions, runs a job search from your resume and answers the phone, with chat and voice sharing one memory.
The assistant grows by registering tools, not by adding branches.
Years of RFPs, RFIs and proofs of concept at Cognizant, and how pre-sales turned out to be product work in disguise.
Two hackathons at Cognizant that produced 13 consumer banking ideas and a working prototype: run well, a hackathon is discovery, not a morale event.
Digital banking product work that started with research rather than requirements, and why the slower start paid off.
Sidhartha
Sunil S Sakri
Saurav Sarkar
Prabhakar Arya A
Junisha Malkani
Shivaprasad Patil
Nishant Pandita
Raunak Pandey
Ranjith Kurukkath
Vinit Gujarathi
Pradeep Reddy
Vidhika Chakravarti
Lokesh Leel
Karine Majdalani
Guru Prasad
Neeharika Parasa
Every face has a story. Tap one to read it.
Eight weekends of building real AI products with a small group of PMs. You leave with a portfolio like Sidhartha’s.
Real testimonials, not marketing copy. Want to talk to any of them? I’ll intro you.