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ptimizeroracle/README.md

Atik

I built data platforms, now LLM platforms: gateways, inference routing, serving on Kubernetes, agents on top.

atiklhy.fr · writing · linkedin · email

Mine

  • Ondine: batch LLM processing for tabular data. Checkpointing, budgets, 100+ providers.

Merged upstream

In review

  • llm-d-router#3379: a pod that had never served a request got no traffic, so it never reported, so it stayed idle. Reproduced on a bench, then confirmed by the reporter on 4 x H100: idle pod in 10 of 12 runs before, 0 of 12 after.

Mostly

  • Data: where I come from. Spark, Kafka, Databricks, dbt, Polars, and the Hadoop era before that.
  • Inference: vLLM, SGLang, LiteLLM, Kubernetes. Queueing theory when the numbers stop making sense.
  • Agents: LangGraph, MCP, evals and tracing. Also Vauban, a reference LLM platform and agent lab I am building as a course: 65 controls, every claim tagged measured or gap. Private for now.

Python, SQL, Go.

Pinned Loading

  1. ondine ondine Public

    Batch-process tabular data with any LLM. pandas & Polars in, structured columns out. Checkpointing, budget limits, and 100+ providers built in.

    Python 5 2

  2. cognee cognee Public

    Forked from topoteretes/cognee

    Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

    Python

  3. narwhals narwhals Public

    Forked from narwhals-dev/narwhals

    Lightweight and extensible compatibility layer between dataframe libraries!

    Python

  4. aibrix aibrix Public

    Forked from vllm-project/aibrix

    Cost-efficient and pluggable Infrastructure components for GenAI inference

    Go

  5. llm-d-router llm-d-router Public

    Forked from llm-d/llm-d-router

    llm-d Router: The intelligent entry point for inference requests

    Go