Welcome to my demos repository! This collection showcases a range of projects and research that reflect my expertise and interests in AI engineering, machine learning, and advanced cloud technologies.

• AI and ML Consulting: Specializing in cutting-edge AI solutions, including large language models (LLMs), multi-agent systems, and custom AI agent development for clients.
• Cloud and Infrastructure: Proficient in deploying resources across public clouds using Terraform, Pulumi, and Kubernetes.
• Advanced AI Implementations: Experience with agent build-out, multi-agent systems, and innovative AI architectures.
• DevOps and SRE: Implementing best practices in Site Reliability Engineering and DevOps methodologies.

• Grok Analysis: In-depth examination of OpenAI's latest language model.
• CVE-2024-3094 Investigation: Comprehensive security analysis.
• Ultimate Kubernetes Wishlist: Innovative ideas for Kubernetes enhancements.
• Low-Level Kubernetes Details: Deep dive into Kubernetes internals.
• SRE Definitions and Best Practices: Comprehensive guide to Site Reliability Engineering.
• LLM Attack Vectorss: Analysis of potential vulnerabilities in large language models.

If you're facing these challenges:

• Need to implement cutting-edge AI solutions like multi-agent systems or custom AI agents.
• Struggling to leverage AI/ML technologies effectively in your business processes.
• Seeking expertise in integrating AI with cloud infrastructure and Kubernetes.
• Looking for guidance on LLM implementation, fine-tuning, and deployment.
• Require a subject matter expert to assess your AI/ML requirements and evaluate potential solutions.

• DevOps Strategy and Implementation: Tailored bleeding-edge CICD solutions for the fastest builds, from conceptualization to deployment. If your builds take over a minute I can help you.
• AI Strategy and Implementation: Tailored AI solutions, from conceptualization to deployment. I have been working with advanced AI chatbots since 2016 and I have worked for influential figures in the AI industry.
• Multi-Agent System Development: Design and implementation of sophisticated multi-agent AI architectures. I am up to date on the latest techniques of this fascinating technology.
• LLM Expertise: Fine-tuning, deployment, and optimization of large language models. I know how to build LLMs from scratch and I have atteneded 3 bootcamps on this topic since 2024 and I am Nvidia certified.
• Cloud-AI Integration: Seamless integration of AI solutions with cloud and Kubernetes environments. I am comfortable with all the major cloud providers. My last work in the cloud was an Azure Copilot Studio project.
• AI Performance Optimization: Enhancing the efficiency and cost-effectiveness of AI deployments.
• AI Product Strategy: Strategic advice on AI product development and talent evaluation. I know all the trends, leading figures, topics of importants, and history of the AI field going back for decades. I am writing a book on these topics.
• Technical Content Creation: Comprehensive documentation and knowledge transfer for AI systems.
• Briefed by leading AI vendors: I attend briefings by Google, Dell, Apple, HPE, Nvidia, and many others where they tell me about their product updates before they are announced. By the time you read about it in a Gartner Report, I have known about it for six months.

• AI readiness assessments
• LLM implementation strategies
• Multi-agent system architecture design
• AI-driven product strategy
• Industry trend analysis and AI workshops
• Advanced AI techniques consultation (e.g., prompt engineering, zero-shot learning)

Includes all Tier 1 services, plus:

• Hands-on AI Development: Production-ready AI code and prototypes.
• MLOps Optimization: Direct involvement in AI model fine-tuning and deployment.
• AI Content Production: Creation of technical AI documentation and thought leadership content.
• Team AI Upskilling: Personalized AI and ML training for your team members.
• Ongoing AI Consultation: Available on retainer for continuous AI guidance and problem-solving.

Tier 2 services are offered exclusively to ensure dedicated, high-quality support for your AI initiatives.

Based on my extensive experience and accomplishments, several aspects of my character and personality can be inferred:

I demonstrate a strong growth mindset, as evidenced by my career progression from IT roles to advanced AI engineering positions. I've consistently adapted to new technologies and challenges, showing a willingness to learn and evolve.

My diverse research interests and continuous pursuit of certifications and bootcamps indicate a deep intellectual curiosity. I'm passionate about staying at the forefront of technology, particularly in AI, machine learning, and programming languages.

Throughout my career, I've taken on leadership roles, managing teams and collaboration across teams and departments. This suggests strong interpersonal skills and the ability to work effectively in diverse environments.

I appear to be innovation-driven, often implementing new technologies and improving existing systems. My work in AI and blockchain indicates a forward-thinking approach to technology.

My experience in creating disaster recovery plans, implementing security measures, and obtaining security-related certifications suggests a detail-oriented nature and a strong focus on cybersecurity.

My involvement in establishing AI governance models and an awareness of ethical and legal implications in AI technology is up to date on this topic. I view AI as a social good and a marvelous opportunity to improve quality of life. I can commit to you that I will not work on AI weapon systems or unethical use cases and I have not done so in the past.

My track record of tackling complex technical challenges across various roles suggests strong problem-solving skills and a proactive approach to addressing issues.

My experience as a Sales Engineer and ability to work with diverse stakeholders indicate strong communication skills, both technical and non-technical.

My ongoing pursuit of certifications and participation in bootcamps, even at a senior level in my career, demonstrates a commitment to lifelong learning and self-improvement.

These traits paint a picture of me as a well-rounded, technically proficient professional who is proactive, adaptable, and committed to driving innovation while maintaining ethical standards in technology.

If anything strikes you as particularly interesting and you want to speak with me about an opportunity?

You can schedule a meeting with me anytime during Eastern Standard Time (https://cal.com/aiconsulting).

• SRE Methodologies: A detailed explanation of the changes the SRE discipline brings to the world of software delivery.

• Pulumi Projects: Utilizes Pulumi for infrastructure as code to deploy resources into AWS, with configurations written in Go. For more information, please see Pulumi's Go documentation.

• Ethereum Node Deployment: Features an infrastructure setup including a VPC, public subnet, internet gateway, route table, security group, and an EC2 instance. The EC2 instance is configured to install and run an Ethereum node using the geth command.

• Fargate Integration: Demonstrates building a local Docker container and pushing it to an AWS ECR repository, presumably for later ingestion into Kubernetes.

• Golang CLI for Lambda Labs: Lambda Labs is an cloud on-demand GPU cloud service. My project includes an example and untested Golang CLI using the OpenAPI spec of the service.

• Grok Large Language Model Analysis: Includes analysis of how the https://github.com/xai-org/grok-1 codebase works.

• Kubernetes LLM Installs: This includes examples of installing Mistral LLM and the OpenAI embedding service in Kubernetes via helm charts, showcasing how to run LLMs in Kubernetes.

• Python Scripts and Packaging: Some example scripts and best practices I like.

• AWS/GCP CLI configured with your credentials
• Nerdctl
• Git
• Docker
• Kubernetes CLI (kubectl)
• Pulumi
• Python
• Terraform

git clone https://github.com/awdemos/demos.git
cd demos

A curated list of my favorite projects across various domains and technologies.

• Talos - A modern OS for Kubernetes.
• Pulumi - Infrastructure as Code for any cloud using your favorite languages.
• vCluster - Virtual Kubernetes clusters.
• Cilium - eBPF-based Networking, Observability, and Security.
• Cloudflare - The entire suite of Cloudflare alternatives to AWS services is growing and quite compelling cost performance advantages.

• GPTScript - Natural language gpt scripting engine.
• aider - A smart codegen in the terminal.
• ComfyUI - This stable difffusion framework or another like is likely going to change the Internet forever imho.
• vLLM - vLLM is a fast and easy-to-use library for LLM inference and serving.

• bincapz - A tool for securing container images by applying binary capabilities with fine-grained control.
• Colima - A container runtime for macOS (and Linux) that emphasizes simplicity and performance. It supports Docker and Kubernetes out of the box.
• Dive - A tool for exploring each layer in an image, analyzing the contents, and discovering ways to shrink the size of your Docker/OCI image.
• Podman - A daemonless container engine for developing, managing, and running OCI Containers.
• nerdctl - Docker-compatible CLI for containerd.
• slim - Minify container images by up to 30x.
• Fedora Silverblue - Fedora Silverblue is a variant of the Fedora Workstation with an immutable desktop operating system aimed at good support for container-focused workflows. I use the Blufin spinoff now.
• Xenia Linux - An immutable distribution based on Gentoo
• Asterinas - Asterinas is a secure, fast, and general-purpose OS kernel, written in Rust and providing Linux-compatible ABI.

• Tekton - A powerful and flexible open-source framework for creating CI/CD systems.
• Dagger.io - A programmable deployment system for your applications.

• WezTerm - WezTerm is a powerful cross-platform terminal emulator and multiplexer written by @wez and implemented in Rust

• Zed IDE - Rust written AI enabled IDE.

• Devcontainer - Develop inside a Docker container with Visual Studio Code.

• Devpod - Automated, ready-to-code development environments for Gitpod.

• Homelab

• Orange Lab - Manage a local kubernetes AI platform through Pulumi with everything you need taken care of.

• Go - An open source programming language that makes it easy to build simple, reliable, and efficient software.
• Bash - GNU Project's shell and command language.
• TypeScript - A superset of JavaScript that compiles to clean JavaScript output.
• Rust CLI's - Building command line tools with Rust. Rust is my favorite language by a mile right now.
• Python - A programming language that lets you work quickly and integrate systems more effectively.

• Chainguard - Solutions for securing Docker images.
• GrapheneOS - A privacy and security-focused Android distribution.
• NitroPC - A secure and open-source mini PC with open source BIOS.
• Learn LLMs and DevSecOps - DevSecOps issues or LLMS.

While this is my demo repo, pull requests made in the spirit of this repository are welcome. For major changes, please open an issue first to discuss what you would like to change.

Any software written by me is released under the MIT license. Software released by others may have other licenses, please see their licensing page for more information.