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:electron:
Building tools for optimizing AI/ML
:electron:
Building tools for optimizing AI/ML
63 followers · 144 following

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Achievements

Achievement: Pair Extraordinairex3Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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dewitt4/README.md

Hi there GitHubers 👋

  1. ML Training Clusters - Optimize GPU allocation across multiple training jobs
  2. Kubernetes GPU Workloads - Native Kubernetes scheduling for AI/ML workloads
  3. LLM Inference Services - Reduce costs with intelligent batching and caching
  4. Multi-Model Deployments - Load balance requests across model instances
  5. Cost Optimization - Track and minimize AI infrastructure spending
  6. Performance Debugging - Identify and resolve bottlenecks
  • 🌱 I’m focused on optimizing LLMs and Securing them from Attack
  • 😄 My top skills: being adaptable, scrapy, determined
  • ⚡ Fun fact: By the time the future gets here it will be the present

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  1. identity identity Public

    Forked from gorillaether/Identity

    Membership Gate Pro 3 tiers walletconnect plus firebase auth and nft ID

    TypeScript

  2. github-process-manager github-process-manager Public

    GUI Dashboard to launch GitHub workflows with a RAG chatbot, MLOps, and documentation generation

    Python 1

  3. ai-deployment-manager ai-deployment-manager Public

    Homebrew for AI Infrastructure - A simple CLI/UI tool that helps companies deploy and manage their own GPU infrastructure without needing deep DevOps expertise.

    Go 1

  4. copilot-orchestra copilot-orchestra Public

    Forked from ShepAlderson/copilot-orchestra

    A multi-agent system with a "Conductor" that orchestrates planning, implementation, and code review subagents through a complete development cycle

  5. agent-collab agent-collab Public

    Forked from dewitt/agent-collab

    GitHub-native multi-agent coordination

    Python