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I build AI agent systems and voice pipelines: the kind that has to survive a real call, a real caller, and a real bill. Everything below is measured from the work itself.

What is here

  • 49 repositories, 1,952,288 source lines. Git-tracked source only; dependency trees and duplicate archives are excluded from that count. Each repository is described by its vertical, the problem it solves, and its architecture in the repo catalogue.
  • Multi-agent orchestration: provider pools with failover, tool-call interception, and audit trails that record what an agent actually did.
  • Voice pipelines: speech-to-text, a language model and text-to-speech running as one live loop, tuned for Hindi and English callers on a real handset rather than a scripted recording.
  • Film, video and publishing tooling, plus data and crawling infrastructure.

How I work

Written only, no calls. That is an engineering decision, not a limitation: written work leaves a record both sides can check afterwards.

Scope is agreed and priced in writing before a build starts. Code is delivered with the tests that actually ran, and when something does not work I say so plainly rather than shipping a demo that quietly does nothing.

What sponsorship buys

Hours. Every repository here was built without a budget, and the distance between a prototype and a product is mostly uninterrupted time, plus the compute that model work genuinely costs.

On licensing

Work is licensed non-exclusively. Ownership never transfers at any price. If you need something built for you rather than licensed, that is a separate written conversation.

Thank you for reading this far.

The catalogue every repository above is listed in: https://github.com/isearchxsolve/repo-catalog

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