The Intersection Bet
For the last few years, software took most of my time.
I went deep into systems; how work flows, where context breaks, why scale feels heavy.
At the same time, I kept studying people; trust, emotion, alignment, and how human dynamics quietly shape outcomes.
After thinking carefully, I’m narrowing my focus for the next few years to two areas:
People Engineering — deep human relationships, trust, emotional clarity.
Artificial Engineering Research — foundational AI systems, memory, context, infrastructure.
Why both?
If you choose only people, scale remains linear.
If you choose only AI, scale becomes unstable.
AI is compressing execution.
Humans still decide direction.
The advantage is where both meet.
Why only these two and not other domains?
I’m still a generalist in thinking. But not all domains are equal in leverage.
Most fields sit downstream; marketing, finance, operations, industry-specific plays. They are important, but they are shaped by deeper forces.
People and AI are upstream forces.
Every company runs on human relationships.
Every industry will run on intelligent systems.
If you understand humans deeply, you influence culture and decisions.
If you understand AI deeply, you influence execution and scale.
Together, they shape everything else.
This is not about narrowing curiosity.
It’s about choosing the two layers that compound across all domains.
Build stronger humans.
Build deeper systems.
Let both scale without friction.