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itxLikhith/README.md

itxLikhith

Designing systems that understand intent, not just input.


🧠 What I Do

I build and experiment with:

  • 🔍 Intent-first discovery systems
  • 🧠 Cognitive architectures & adaptive loops
  • ⚙️ Scalable backend systems & infra experiments
  • 🧩 Search, ranking, and information retrieval

I’m less interested in static software,
more interested in systems that evolve, learn, and self-improve.


🚧 Current Focus

🌐 Oxiverse

👉 https://oxiverse.com

Building a platform around:

  • Intent-driven discovery
  • Autonomous indexing & ranking
  • Signal vs noise separation
  • Systems that operate beyond traditional search

🧪 Philosophy

  • Input is noisy. Intent is signal.
  • Most systems respond. Few understand.
  • Simplicity at the surface. Complexity underneath.
  • If it doesn’t evolve, it decays.

🔗 Find Me


⚠️ Note

This profile is where experiments live.
Some things break. Some things scale.


🔮 Direction

Working toward building systems that:

  • Learn continuously
  • Adapt without explicit retraining
  • Align closer to human intent over time

Signal > Noise

Pinned Loading

  1. RAVANA-AGI-Research RAVANA-AGI-Research Public

    Advanced Cognitive Architecture for AGI Development - A pressure-shaped developmental system integrating human psychology, emotional intelligence, Bayesian reasoning, and cognitive dissonance theory

    4 1

  2. ASURA ASURA Public

    Agentic System used-by RAVANA AGI