03 Becoming / Now
The current chapter is about useful AI in the real world.
Building products, evaluating systems, and sharing the lessons while they are still fresh.
Current focus
Products with purpose. Systems with evidence.
Most of my attention sits where applied AI meets domain knowledge: agricultural support, regulated classification, agentic workflows, quality engineering, and the hard work between a prototype and a dependable product.
- Building and growing Krishi AI across AI chat, plant diagnosis, live mandi prices, agricultural knowledge, and multilingual voice experiences.
- Designing agentic and evaluated AI systems where evidence, human review, security, and production reliability are part of the product—not afterthoughts.
- Teaching practical generative AI through open-source projects, writing, talks, and the Generative AI for the Beginner’s Mind YouTube channel.
Last meaningfully updated: July 2026.
Recent markers
Proof that the direction is moving.
01
10K+ Krishi AI downloads
The Android product passed 10,000 public downloads on Google Play.
02Google for Startups
Krishi AI was accepted into the Google for Startups Cloud Program.
03A new geography
A partnership with Headway Earth is extending Krishi AI’s AgriTech services to customers in Nepal.
04From fields to AI
A first public talk shared the product journey and the lessons from building with LLM tools.
Next horizon
What I want the work to become.
- Make useful agricultural knowledge easier for farmers to access in their own language and context.
- Build trustworthy AI products that survive the journey from proof of concept to production.
- Help more people become confident builders by sharing practical, honest lessons from the work.