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Achievement: Pull SharkAchievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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clxyder/README.md

Carlos Wong

AI Engineer — Building production-grade AI systems.

The Short Version

I deploy generative AI at enterprise scale — the kind with air-gapped networks, compliance requirements, and thousands of users who need it to just work. Currently leading AI initiatives at L3Harris, where I've:

  • Deployed LLM infrastructure serving 1,000+ users on NVIDIA Kubernetes clusters
  • Driven $2M in forecasted savings through RAG assistants for enterprise use cases
  • Managed $1M+ in R&D funding across agentic AI and edge deployment projects
  • Demonstrated AI capabilities to 200+ customers at industry events

What I Build

Agent Systems — RAG pipelines with Vespa, agentic workflows for decision support, multi-modal evaluation frameworks with DeepEval & LangFuse

LLM Infrastructure — Production deployments with vLLM, BentoML, Kubernetes. On-prem GPU clusters. 95%+ uptime.

AI Safety — Guardrails for policy compliance, IP protection, and topic filtering. Built for environments where "move fast and break things" isn't an option.

Let's Connect

LinkedIn Twitter Website

Orlando, FL — Open to the right opportunity

Pinned Loading

  1. differentiable-programming differentiable-programming Public

    Forked from viksit/differentiable-programming

    Python

  2. task_trajectory task_trajectory Public

    TypeScript

  3. gptq-for-llama gptq-for-llama Public

    Forked from qwopqwop200/GPTQ-for-LLaMa

    4 bits quantization of LLaMA using GPTQ

    Python

  4. optimization-sandbox optimization-sandbox Public

    Join my journey to learn Numerical Optimization and Optimal Control

    Python 1

  5. langchain-playground langchain-playground Public

    Python

  6. xsd-embedded-custom-parser xsd-embedded-custom-parser Public

    Create a custom DOMLSParserImpl using the xercesc and xsd open-source libraries.

    C++