Designing systems that understand intent, not just input.
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.
Building a platform around:
- Intent-driven discovery
- Autonomous indexing & ranking
- Signal vs noise separation
- Systems that operate beyond traditional search
- Input is noisy. Intent is signal.
- Most systems respond. Few understand.
- Simplicity at the surface. Complexity underneath.
- If it doesn’t evolve, it decays.
- GitHub: https://github.com/itxLikhith
- X (Twitter): https://x.com/itxLikhith
This profile is where experiments live.
Some things break. Some things scale.
Working toward building systems that:
- Learn continuously
- Adapt without explicit retraining
- Align closer to human intent over time
Signal > Noise
