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sathiya-22/README.md

Sathiya Sendilnath

Building systems end-to-end — Linux infrastructure, backend automation, and applied AI.


AutoScout

An autonomous system that scouts real problems in agentic AI and builds solutions for them — every day, without me touching it.

Typing SVG

Three processes run independently, every day. Scout pulls real pain points from the agentic-AI community — agent orchestration, memory, evals, guardrails, MCP. Generate builds a new prototype targeting the strongest signal, in whatever language actually fits it. Advance — two separate engines, a Gemini-powered one in AutoScout-Lab and a Groq-powered one in AutoScout-Engine — each push one existing repo a genuine step further, grounded in live research.


26
days running		 32
repos generated		 17
Gemini passes		 16
Groq passes

auto-updated daily · last refreshed 2026-08-01 · today's activity


Python Gemini Groq Pydantic GitHub Actions


contribution snake animation


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  1. Pytorch-to-CoreML-conversion-Llama-based-models- Pytorch-to-CoreML-conversion-Llama-based-models- Public

    PyTorch LLaMA-style LLM → Core ML exporter with full KV cache support for fast on-device inference (iOS/macOS).

    Python

  2. AutoScout-Engine AutoScout-Engine Public

    Slow deep-advancement pass over every AutoScout-generated repo, powered by NVIDIA NIM

    Python

  3. AutoScout-Lab AutoScout-Lab Public

    Master lab for AI prototypes generated by AutoScout

    Python