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Carlos Costa

Distinguished Engineer, IBM

  • Distinguished Engineer, IBM14
  • Project leadership and maintainer, llm-d12

Carlos Costa is a member of the project leadership of llm-d, the Kubernetes-native distributed inference serving stack, listed with IBM as employer, and one of the project's three initial maintainers, representing inference optimization research. llm-d's launch and release posts list Costa as a Distinguished Engineer at IBM.1234

At a glance

Current roles
Distinguished Engineer +1 more
Companies
IBM, llm-d
Sector
Company
Work listed
1
Sources cited
7
Profile reviewed

llm-d

The llm-d project document names Costa, Clayton Coleman and Robert Shaw as the initial maintainers, with Costa representing inference optimization research. The current maintainers file lists Costa, with IBM as employer, in the project leadership with Abdullah Gharaibeh and Robert Shaw.21

Costa co-wrote "Announcing the llm-d community!" in May 2025, which presented llm-d as a modular serving stack using KV-cache aware routing and disaggregated serving with Kubernetes tooling. Costa also co-wrote the release posts for llm-d 0.2, 0.3, 0.4 and 0.5.35674

Work and contributions

  • llm-d Open-source code

    Named one of llm-d's three initial project maintainers, representing inference optimization research, and co-author of the project's launch post and its v0.2 to v0.5 release announcements.21354

Timeline

  1. Co-authored the post announcing the llm-d community.3
  2. Co-authored the llm-d 0.2 release post on the project's first well-lit paths.5
  3. Co-authored the llm-d 0.3 release post on wider hardware support.6
  4. Co-authored the llm-d 0.4 release post on performance across accelerators.7
  5. Co-authored the llm-d 0.5 release post, "Sustaining Performance at Scale".4

Where they work

  • IBM 29 people in the wiki
  • llm-d 2 people in the wiki

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References

7 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026

  1. llm-d MAINTAINERS.mdllm-d (GitHub repository) · Repository · accessed Oct 22, 2026
  2. llm-d PROJECT.md (project ownership and initial maintainers)llm-d (GitHub repository) · Repository · accessed Oct 22, 2026
  3. Announcing the llm-d community!llm-d · Announcement · published May 20, 2025 · accessed Oct 22, 2026
  4. llm-d 0.5: Sustaining Performance at Scalellm-d · Release notes · published Feb 4, 2026 · accessed Oct 22, 2026
  5. llm-d 0.2: Our first well-lit pathsllm-d · Release notes · published Jul 29, 2025 · accessed Oct 22, 2026
  6. llm-d 0.3: Wider Well-Lit Paths for Scalable Inferencellm-d · Release notes · published Oct 10, 2025 · accessed Oct 22, 2026
  7. llm-d 0.4: Achieve SOTA Performance Across Acceleratorsllm-d · Release notes · published Dec 2, 2025 · accessed Oct 22, 2026