Optimize Real-World AI Systems
Move beyond experimentation and focus on production-scale deployment of AI-enabled products.
Karan Dev Tyagi
Product Manager
where am I from?
भारत
Post
India
Noida, Uttar Pradesh
hello robot says hi!
professional me
Building & scaling products people pay for.
See Professional Me ↗My desk
karan's work
behind the scenes
What I'm learning right now
learning.md
I'm currently exploring how to navigate an AI-native world by building things that I genuinely want to use.
As AI capabilities expand and inference costs continue to evolve, I'm interested in understanding where AI creates meaningful value and where traditional software remains the better solution.
Current areas of exploration
Advanced multimodal architectures
Multi-agent systems
Production-scale AI deployment
Human-AI workflow design
AI cost optimization and efficiency
The goal is not simply to use AI everywhere, but to understand where intelligence, automation, and product design create measurable outcomes.
See what I'm building on GitHub ↗the master plan
Goals for 2026
Deepen Technical Foundations
Move from being solely an AI-enabled Product Manager toward leveraging my Computer Science background to better understand machine learning systems, architectures, and deployment.
Continue Building
Continue building products at both personal and professional scales. The objective remains unchanged: create things that are useful, enjoyable to build, and capable of creating meaningful impact.
& that's a wrap!
Glad you made it here.
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