I write code that outlasts the sprint.
I started programming at fourteen, building janky PHP scripts on shared hosting. That spark turned into a career spanning twelve years of full-stack engineering across startups, scale-ups, and enterprise platform teams. I have shipped billing systems that process millions in transactions, observability tooling that reduced mean-time-to-recovery by forty percent, and component libraries used by hundreds of engineers daily.
My engineering philosophy centers on three principles: clarity over cleverness, ownership over handoffs, and measurable outcomes over feature counts. I do not chase hype stacks. I pick tools that let a small team move fast without accumulating regret. When I join a project, I bring working code, actionable opinions, and a genuine interest in the problem domain.
Outside of engineering, I contribute to open-source developer tools, write about systems thinking and software delivery on my blog, mentor early-career developers through pair-programming sessions, and spend time hiking and reading about distributed systems architecture. I believe that well-rested engineers build better products, and I structure my work to sustain velocity across months and years rather than burning bright for a single quarter.
Skills breakdown by domain
I invest deeply in a small set of tools and paradigms rather than surface-skimming a dozen frameworks. Every bar here reflects production experience, not tutorial completions.
Frontend Engineering
Backend and Systems
DevOps and Infrastructure
Product and Leadership
Technologies I use in production
Not a bingo card of logos. Every item here is something I have deployed, debugged under pressure, and would confidently use again on the next project.
Professional experience timeline
Every role shaped how I think about software delivery. From startup velocity to enterprise stability, each chapter taught something I still carry forward.
Senior Platform Engineer — Velocity Labs
Lead the platform team responsible for internal developer tooling, CI/CD pipelines, and a shared component library used across twelve product teams. Architected a migration from a monolithic Rails application to a service-oriented TypeScript and Rust stack, cutting average API response time from 380ms to 45ms. Introduced structured observability using OpenTelemetry, reducing mean time to resolution on production incidents from four hours to under thirty minutes. Built an internal release dashboard that replaced a fragmented mix of Slack threads, wikis, and spreadsheets.
Full-Stack Engineer — Arcline Systems
Core engineer on a B2B SaaS platform serving logistics and supply chain companies. Built the billing module that processed over two million dollars in monthly transactions with zero downtime during peak periods. Designed and implemented role-based access control, audit logging, and a multi-tenant data isolation layer. Led the frontend migration from Angular to React, establishing the component library and design token system still in use today. Mentored three junior engineers through their first production deployments.
Software Engineer — Draftwerk Studio
Built customer-facing web applications for a digital product studio working with early-stage startups. Delivered MVPs for six different companies across fintech, healthcare scheduling, and e-commerce verticals. Developed a reusable project scaffold with authentication, payments, and admin panels that cut initial development time by forty percent. Introduced automated testing practices that reduced post-launch bug reports by over sixty percent compared to previous studio projects.
Junior Developer — Brightpath Digital
Started as an intern and grew into a contributing engineer within six months. Worked across the full stack on marketing sites, internal tools, and client dashboards. Learned the discipline of code review, version control hygiene, and writing clear documentation. Built my first production API, deployed my first Docker container, and shipped my first feature that real paying customers relied on daily.
Formal credentials
Concentrated in systems programming and distributed computing. Senior capstone project built a real-time collaborative code editor with operational transformation conflict resolution. Graduated with departmental honors and a 3.7 GPA. Teaching assistant for Data Structures and Algorithms for two semesters.
Validated proficiency in designing distributed systems on AWS, including VPC networking, IAM policies, S3 lifecycle management, Lambda event-driven architectures, and cost optimization strategies for production workloads.
Completed the advanced Rust systems programming course covering ownership patterns, async runtime internals, unsafe code auditing, and performance profiling with flamegraphs. Applied learnings directly to production services handling high-throughput data processing pipelines.
Beyond the classroom
Active contributor to several developer tool projects. Maintained a Vite plugin for automated API type generation with over two thousand GitHub stars. Contributed performance patches to a popular React table library that reduced re-render cycles by thirty percent for large datasets. Regularly review and triage issues on projects I depend on.
Presented at three regional developer conferences on topics including practical Rust adoption for web teams, building observable frontend applications, and migrating legacy systems without stopping feature delivery. Conducted internal workshops at two companies on TypeScript patterns, testing strategy, and code review culture.
Published over thirty articles on engineering topics including API design, frontend performance, release engineering, and team productivity. Articles have been featured in JavaScript Weekly, Rust Times, and several curated engineering newsletters with a combined readership of over fifty thousand developers monthly.
Mentor two early-career engineers through weekly pair programming sessions focused on real project work rather than abstract exercises. Active in developer communities on Discord and GitHub Discussions. Believe strongly that teaching is the fastest way to solidify your own understanding and find gaps in your mental models.
How I think about building software
Readable code is maintainable code. I name things carefully, keep functions small, write documentation where it matters, and avoid abstractions that trade short-term elegance for long-term confusion. The next engineer reading this code should understand it in minutes, not hours.
I do not throw code over the wall. When I build a feature, I think about deployment, monitoring, error handling, edge cases, and the support engineer who will debug it at two in the morning. Ownership means the feature works in production, not just on your local machine.
Gut feelings about performance are often wrong. I instrument before I optimize, set baselines before I refactor, and validate improvements with real data. This discipline prevents wasted effort and keeps the team focused on changes that actually move metrics customers care about.
Large pull requests are where quality goes to die. I prefer small, reviewable changes with clear intent. Feature flags, progressive rollouts, and incremental migrations reduce risk and give the team fast feedback loops that catch problems before they reach every user.
A well-written test suite tells the next developer what the code is supposed to do. I write tests that describe behavior, not implementation details. When tests break, they should tell you what went wrong and why, not just that something changed.
Speed without sustainability is just technical debt with extra steps. I build systems and habits that let teams move fast for years, not just sprints. That means investing in tooling, automation, documentation, and the health of the people doing the work.