DevOps Engineer with over 10 years of experience
Implement continuous integration and continuous deployment pipelines to automate your software delivery process.
Manage and optimize your cloud infrastructure on AWS, Azure, or Google Cloud Platform.
Set up comprehensive monitoring and logging solutions to ensure the health and performance of your applications.
Automate the provisioning and management of your infrastructure using tools like Terraform and CloudFormation.
Deploy and manage containerized applications using Docker and Kubernetes.
Ensure your infrastructure and applications meet security standards and compliance requirements.
Set up your personal AI agents to automate DevOps workflows using GitHub Actions, Slack, and your custom context.
Design dynamic pipelines that deliver clean, relevant, and structured context to your AI systems.
Generate living documentation from agent activity—plans, reviews, retros, and decisions that stay current by design.
Deploy AI agents to triage alerts, propose mitigations, and summarize incidents for faster, clearer response.
Track and attribute AI agent usage costs across teams, projects, and workflows for transparent budgeting and optimization.
Create continuous human-in-the-loop feedback loops that tune and improve agent behavior over time.
FREE
30 min session
$150
1 hour session
$1200
10 hours per week
$2200
20 hours per week
$3000
20 hours per week
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The Timeseries Metrics SaaS Service is designed to collect and display performance metrics from systems. It allows users to monitor CPU utilization, memory usage, and disk usage through a user-friendly dashboard.
Meta Search is a web application that scrapes data from specified websites and APIs, processes the data, and provides a search interface for users to query the scraped content. Built using Python, Scrapy, FastHTML, and PostgreSQL, utilizing Docker for containerization.
This project is an IoT platform designed to register IoT devices, collect temperature data, track device health, and visualize the collected data. The platform supports MQTT for device communication and utilizes RabbitMQ, PostgreSQL with TimescaleDB, and Grafana for data visualization.
A web app for online shopping with product catalog, account management, secure payments (Stripe/PayPal), admin tools, and CI/CD integration, built on Node.js, PostgreSQL, HTMX, Tailwind CSS, and Daisy UI.
pAI (personal AI) is a system of intelligent agents tailored to your work style, automating tasks and decisions in both personal and professional contexts. Designed for flexibility, transparency, and personal control, pAI shifts work from manual effort to orchestrated automation—giving you a custom AI team that works with and for you.
A free, open-source tool that turns your Git repo into a narrated podcast. It uses your OpenAI API key to generate audio guides for onboarding, changelogs, and more—ideal for devs who learn by listening. Install via Go and run entirely from the command line.
Command Line LLM (cllm) Toolkit is a command line tool for interfacing with LLM models. It is designed to be a simple and easy to use tool for generating text from a prompts. It includes a suite of tools for interfacing with cllm output to build more complex prompt chaining processes.
LLMs + CLI go together like peanut butter and jelly. This is a curated list of awesome command-line interfaces (CLI) for Large Language Models (LLM) and related tools.
Stallabella is a bash script that automates the creation of a children's story and its illustrations, generating text and images based on a provided character description and prompts, and compiling them into a markdown file.
DaisyNest is a full-stack web application boilerplate built with NestJS, HTMX, JSX, TailwindCSS, and DaisyUI. It is designed to be a starting point for building modern web applications with a focus on developer productivity and user experience.