Senior Staff Software Engineer · The Hartford
I build the shared tools and automation engineers rely on to ship software — faster, safer, and more consistently. Think of it as building the factory, not the products that roll off it. Increasingly, that means baking AI right into those tools.
I design and scale the systems big engineering teams build on — easy to operate, hard to break, and built to grow with the teams that use them.
In practice, that means taking the slow, repetitive, mistake-prone parts of building software and making them automatic and safe — the behind-the-scenes plumbing most people never see but every engineer relies on. Increasingly, that means building AI directly into those everyday tools.
Beyond the platform, I lead our enterprise hackathons, mentor emerging leaders as a rotation manager and career coach in the company's Leadership Development Program, and serve on the Central Connecticut State University (CCSU) Computer Science Industry Advisory Board.
Outside of work, you'll usually find me climbing rocks, snowboarding through the woods, or exploring new ideas.
New to the jargon? Tap any tag to see what it means in plain English.
One place for 8,000+ engineers to build
Before, everyone set up their tools differently — slow and easy to break. Now it's one shared, consistent setup.
1,000+ engineers chose it in the first 90 days
New tools inside big companies usually get ignored. This one caught on fast.
One command builds any project — laptop, cloud, anywhere
The same result every time, with no fiddly setup to do per project.
The platform spots where engineers get stuck — live
So we fix the real slow-downs instead of guessing. AI assistants can read it too.
Now building
Airbnb hosts upload their CSV exports and get occupancy, booking trends and earnings back as charts. Every file is parsed in the browser — no account, no upload, and no server that could leak a year of someone's bookings.
A versioned architecture model that lives in git and gets checked continuously against real infrastructure. When the model and reality diverge, the divergence arrives as a pull request instead of as a diagram nobody trusts.
An interactive terminal business card. Gradient ASCII intro, live GitHub stats fetched on a 1.5-second leash so it never hangs, and quick actions to copy my email, open my socials or save a vCard.
I lead the strategy, design, and delivery of The Hartford's developer platform — the one place 8,000+ engineers go to build, ship, and run their software.
My focus is making the whole thing automatic, reliable, and secure by default — so engineers hit fewer roadblocks and spend more time on the work that matters.
Under the hood: a real-time event pipeline (AWS, DynamoDB, Snowflake) with ML analysis of developer pain points; observability through Splunk and Dynatrace; and an end-to-end CI/CD and DevSecOps toolchain — Jenkins, GitHub Actions, Harness, AWS CodePipeline, Nexus, SonarQube, Checkmarx — keeping thousands of pipelines reliable. AI features ship as MCP-based skills.
Prior: migrated 10,000+ code repositories to GitHub Enterprise Cloud; recognized with the 2023 Enterprise Tech Data & Cyber Award.
For my full career history, see my resume.
For more detailed information, see my coding activity.
If you're building tools that make engineering teams faster — or just want to talk shop about platforms, developer experience, or AI — I'd love to connect.
