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d e v o p s · l l m o p s · l o c a l a i
$ neofetch
▄▄▄▄▄▄▄▄▄ sharyar@github
▄█████████████▄ ──────────────────────────────
███████████████████ OS........: Linux · macOS · Windows
█████████████████████ Host......: Bochum, Germany (UTC+1)
█████████████████████ Kernel....: 7+ yrs automotive CI/CD
███████████████████ Shell.....: bash · zsh · powershell
▀█████████████▀ DE........: tmux + vim
▀▀▀▀▀▀▀▀▀ Role......: DevOps → LLMOps Engineer
Packages..: jenkins, docker, jfrog
Terminal..: black & green, always
Memory....: 32GB, mostly model weights DevOps engineer by trade, LLM tinkerer after hours.
I like pipelines that don't break, scripts that don't lie,
and models small enough to run on hardware I actually own.
drwxr-xr-x local-ai/ # LLMs on my own metal, not someone's cloud
drwxr-xr-x cicd/ # jenkins · github actions · docker · terraform
drwxr-xr-x artifacts/ # jfrog artifactory, build promotion, release hygiene
drwxr-xr-x scripting/ # bash · zsh · python · powershell · batch
drwxr-xr-x agents/ # mcp servers, tool-calling, model routing
drwxr-xr-x open-source/ # small, sharp tools worth someone else's time
-rw-r--r-- .plan # ship it, then document itlanguages/ python bash zsh powershell batch
ci-cd/ jenkins github-actions docker terraform
artifacts/ jfrog-artifactory jfrog-cli
platforms/ linux macos windows
ai-stack/ ollama huggingface mcp llama.cpp
$ find ~/projects -maxdepth 1 -type d -printf '%f\n' | sort| repo | what it does |
|---|---|
| jflint | linting & sanity checks for Jenkinsfiles |
| llmfetch | pull & manage local LLM weights from the CLI |
| hashmuse | hashing / checksum utility |
| sysmon | lightweight system monitoring |
| envtally | audit and tally environment variables |
| llm-prisoners-dilemma | game-theory experiments with local models |
github.com/sharyaropensource ........... 64 bytes time=0.4ms
huggingface.co/Snaseem2026 ............. 64 bytes time=0.6ms
ollama.com/sharyarnaseem ............... 64 bytes time=0.5ms
--- sharyar ping statistics ---
3 packets transmitted, 3 received, 0% packet loss
______________________________________________
< Automate it twice: once by hand, once for real >
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