ð Hey there! Iâm Bryan Elliott
Iâm a Frontend-Leaning Full-Stack Engineer with 15+ years experience building sleek, scalable, and intuitive web apps. I speak fluent JavaScript, dream in React (and Next.js), and have a long-standing love affair with TypeScript. Clean code, intuitive UX, and pixel-perfect UIâs? Yes please! ð
I have a natural deep ingrained curiosity and passion for programming. I first started programming when I was 8 years old, after my Dad brought home our first home computer during the holidays, and I've been hooked ever since.
For the past 5 years, I was crafting the web at Automattic, working on high-impact projects for and . I led complex initiatives like revamping the checkout system used by millions, all while collaborating remotely with brilliant minds across the globe.
But Iâm not just about the code. Iâm a mentor, team player, and process improver, always looking for ways to improve the craft and make engineering more efficient, creative, and fun. Iâm also super excited about the future of AI-assisted development. Tools like ChatGPT, Copilot, and Cursor Claude Code have become a natural extension of my workflow.
When Iâm not coding, youâll probably find me out fishing in the Florida sun ð£ chasing a big Snook, Tarpon, or Jack Crevalle (True story: About a year ago I made the cover of Waterline Magazine with a ~20-pounder ðª ).
I believe great products are built by curious people with passion and determination, and by people who careâ care about quality, about users, and about the team. If that sounds like you too, letâs connect!


Sure, plenty of developers can write good code... but I bring something extra to the table: a mix of meticulous craftsmanship, future-focused thinking, and a knack for spotting the âgotchasâ before they getcha.
I have an almost uncanny ability to catch the little things others miss. The one-pixel misalignment in a UI, the subtle performance bottleneck lurking in a data flow, or the integration risk quietly hiding in plain sight. I donât just fix problems; I stop them before they even have the chance to put on their trouble-making shoes.
I donât just think about what works now, I think about what might break later. That means identifying edge cases in the planning stage, designing components that wonât turn into spaghetti later, and steering the team away from future âuh ohâ moments before they make it into the sprint.
Stackoverflow.com is a premiere website where the majority of the worldâs programmers regularly attend (although much less, now with the adoption of chatGPT and other LLM's)
In the pre-AI days, I was a regular on Stack Overflow, answering developer questions and helping thousands of engineers untangle tricky problems. My efforts earned me a high reputation score, putting me in the top 9% of contributors worldwide!
Having a high reputation score demonstrates that you can quickly and accurately solve other programmers' problems and it represents how well the programming community trusts your answers.
These days, I answer fewer questions (blame ChatGPT ð), but Iâm still proud of having been part of that global knowledge-sharing engine. The answers I've provided have reached and helped over 284,000 people!
Most recently, over the past 5 years working at Automattic, I had the rare privilege of working almost entirely in open source. I shipped hundreds of high-impact open-source pull requests to flagship projects like and , each platform supporting millions of users.
Every change, every feature, and every bug fix is all out there in the wild for the world to see (and hopefully appreciate). So if you want to see exactly how I write code in large-scale, production codebases that support millions of usersâ No problem! Let's go take a look on Github! ð
Below is my Git Contribution Graph over the past 6 years:
A Git contribution graph is basically like a personal activity calendar for coding. Each square represents one day, and the green colors represent the amount of Github activity, such as writing code, fixing a bug, or reviewing code. The brighter the color, the more activity for that day.
Itâs basically a visual diary of how active someone has been in coding and building things. It gives a quick sense of someoneâs coding habits. For example, whether they code consistently, work in bursts, or have periods where they take breaks (like vacations or downtime between projects).
Whether itâs mentoring teammates, experimenting with AI-powered dev tools, or refining our workflow for maximum efficiency, Iâm constantly looking for ways to push the craft forward. I believe great engineering is part code, part collaboration, and a whole lot of curiosity.
In short: Iâm not just here to build software. Iâm here to make the web cleaner, faster, more delightful, and to leave every codebase I touch in better shape than I found it.
To learn more about the "Level-Up" mini-game, how it was developed, and the behind-the-scenes rigging, sprites, and 328 frames of animation, you can read my blog article, ð¹ï¸ Always Leveling Up: Building My Own Mini Game (and My Skills) as a Full-Stack Engineer.
elliottprogrammer/level-up-game
View on GitHubLet's step back through my experience, and the places I've worked.
Curious about projects, tech stack choices, or how I solve problems?
Drop a question and Elliott-AI will pull answers straight from my extensive career docs, project write-ups, resumé, etc.
To learn more about "Elliott-AI" and learn exactly how I developed the full build: data pipeline, chunking, embeddings, vector storage, retrieval, and the streaming data API endpoint, you can read my blog article, Building Elliott-AI: A RAG Agent That Knows My Career Better Than I Do!
elliottprogrammer/ask-elliott-ai
View on GitHub