Hi, I'm Connor Meeker!

I am a Full Stack Developer with several years of experience in both the application and presentation layers. I have worked on personal applications and microservices, and I can’t wait to expand my portfolio. This website is an example of my work and reflects my dedication to clean, functional design. I am always excited to learn new technologies and take on new projects — maybe the next one will be yours! 👋

Skills

HTML

HTML

JavaScript

JavaScript

CSS

CSS

Python

Python

SQL

SQL

Kubernetes

Kubernetes

Portfolio

Check out some of my projects:

Project 1
Public.Law

Public.law is an open-source platform that scrapes, structures, and publishes legal documents—such as statutes, ordinances, and regulations—from government websites. In this project I have helped develop automatic web scrapers that collects up-to-date legal texts from official sources, and Wrote TypeScript test suites using Jest to verify Sentry error logging integration, ensuring production-level observability and robust error tracking for the public.law platform.

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Project 2
OpenSource Work

I contribute to open source projects by forking repositories, working in feature branches, and submitting pull requests with clean, well-tested code. My contributions include writing TypeScript and Python, improving test suites using Jest and Pytest, enhancing CI/CD workflows, and refining API and CLI functionality. I prioritize clear commit history, issue tracking, and adherence to project style guides. I’m particularly drawn to open source projects that improve transparency, developer tooling, or public access to information.

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Project 3
Snog the Dog

I am currently developing a full-stack web application that helps prospective dog owners discover ethical and compatible breeders. On the backend, I’m designing and documenting normalized relational database schemas using the Django ORM to model entities such as Breeders, Trainers, Breeds, and Training Programs. I’m also implementing geolocation-based search functionality, including zip code filtering and human-readable location formatting (e.g., “Denver area”), to enhance UX and enable precise querying and filtering of breeder data.

Contact Information

E-mail

E-Mail

JavaScript

Linkedin

CSS

GitHub