Maybe you’re starting with an idea, maybe you have an application that needs to be modernized, or maybe there’s one stubborn problem you need someone to solve. You don’t need to arrive with a technical specification or even know exactly what the solution should be.

We can start with the problem, figure out what actually needs to be done, and determine whether BetaVault is the right fit for the work. Depending on the project, I can help with everything from planning and design through development, deployment, and ongoing support.

Sometimes you don’t need someone to own the entire project—you need another experienced developer who can join the people already building it.

I’m comfortable stepping into established applications and development environments, learning how the existing system works, and contributing within the team’s processes rather than expecting everything to change around me. I can take ownership of features and technical problems while collaborating closely with developers, designers, product owners, QA, and the other people involved in getting the work done.

The right opportunity doesn’t necessarily have to remain a BetaVault engagement. I’m open to contract-to-hire and permanent positions where my experience is a good match and there’s an opportunity to become genuinely invested in the product and the team behind it.

For me, the important part is the fit: interesting problems, thoughtful people, good communication, and an environment where I can contribute what I’ve learned while continuing to learn from the people around me.

Working independently has meant becoming comfortable wherever a problem happens to live. I’ve built and supported applications using Angular, Node.js, NestJS, PHP, MongoDB, and other technologies across both frontend and backend systems.

That doesn’t mean every project needs a full-stack solution or my preferred technology stack. Sometimes the job is a new application; sometimes it’s adding a feature to an existing system or figuring out why something isn’t working. BetaVault has taught me to start with the problem, understand the environment I’m working in, and then use the tools that make sense.

Building software is only part of putting a reliable application into production. Through BetaVault, I’ve designed and managed AWS-based infrastructure supporting the applications I’ve built, including compute, storage, databases, deployment, and the services connecting them.

One of my biggest learning experiences was architecting an AWS environment from the ground up while I was still becoming familiar with the ecosystem. That work ultimately improved system efficiency by approximately 50% and cut deployment time roughly in half—but the bigger takeaway was learning to think about software as an entire operating system rather than just the code running inside it.

Not every application needs to be replaced. I’ve spent a significant amount of my career working with existing software—learning how it works, identifying where it’s struggling, and improving it without throwing away the parts that are already doing their job.

That has included modernizing legacy Angular applications and making improvements to performance, architecture, usability, and maintainability. In one engagement, those improvements contributed to a 20% increase in user engagement. More importantly, this kind of work has taught me to understand an existing system before deciding how much of it actually needs to change.

I’ve learned that development problems aren’t always code problems. Slow feedback, unclear requirements, cumbersome handoffs, or long gaps between development and testing can make otherwise good engineering much harder than it needs to be.

I’ve introduced iterative workflows that shortened the time between development and testing by more than 30%, but the goal wasn’t simply to make everyone move faster. Shorter feedback loops made it easier to catch problems, respond to changes, and keep the work aligned with what people actually needed.

Some of the most valuable experience I’ve gained hasn’t come from launching something new—it’s come from supporting software long enough to see how it behaves in the real world.

I’ve maintained and enhanced a complex production system for more than a decade, adapting it as requirements, technologies, and expectations changed around it. Long-term ownership changes the way I build software. Decisions that seem insignificant today can become very important years later, so I think about maintainability, clarity, and the next developer who may eventually have to understand what I built.

I joined Rocket Communications in 2025 to help improve an application used to schedule and coordinate mission operations. Beyond implementing features, much of the work involved understanding how operators actually used the system and finding ways to make complex scheduling workflows clearer and more efficient.

The resulting improvements contributed to an estimated 25% increase in operational efficiency. More importantly, the experience reinforced how much value can come from understanding the workflow around the software—not simply implementing the requirements placed in front of you.

After completing my initial engagement with Rocket Communications, I was invited back in 2026 to continue supporting the same program.

Returning meant stepping back into an established codebase, team, and mission with significantly less ramp-up time and immediately contributing to ongoing work. I value that reengagement because it represents something that’s difficult to capture with a technology or performance metric: the team already knew how I worked and wanted me back.

I took ownership of designing and organizing the response payload used by the Mission Dashboard. Rather than leaving the frontend to repeatedly reshape complicated backend data, I worked to create a logical and predictable response structure that better reflected what the interface actually needed.

That simplified frontend state handling, reduced unnecessary transformations, and provided a cleaner foundation for extending the dashboard later. It was a good reminder that frontend problems aren’t always solved in the frontend—sometimes the better solution is improving the contract between the systems.

I led the integration of Chart.js into the Run Dashboard to turn detailed run statistics into visual information that could be understood much more quickly.

The work involved more than simply placing charts on the screen. I had to determine how the underlying data should map to useful metrics, organize those visualizations around the information people actually needed, and keep the implementation performant as the dashboard evolved. The result gave users a much clearer way to understand run performance without having to interpret the raw data themselves.

Adding new frontend capabilities sometimes exposes problems well outside the frontend. While integrating dependencies such as Chart.js, I encountered limitations in the existing Docker configuration that made dependency changes unnecessarily cumbersome across environments.

I updated the container and build configuration so NPM dependencies could be incorporated more reliably without repeatedly paying unnecessary build costs or introducing differences between development and production. It was a relatively behind-the-scenes improvement, but exactly the kind of work I enjoy: remove friction once so the team doesn’t have to keep working around it.

One of the most technically unusual problems I worked on involved synchronizing command schedules using UTC, TAI, and time referenced from the J2000 epoch. The application needed those conversions to be deterministic and precise because the resulting times were used to coordinate commands between ground systems and satellites.

When I discovered inconsistencies in conversion logic the feature had inherited, I went back to the underlying time standards rather than compensating for the symptoms. I reworked portions of the conversion pipeline and strengthened the validation around it. The experience reinforced one of the most important lessons I took from Rocket: foundational assumptions deserve scrutiny when the system depends on their accuracy.

Working on aerospace and defense software changed the context around ordinary engineering decisions. Testing, traceability, clear communication, and careful review weren’t simply good development practices—they were part of reducing operational risk.

I worked closely with engineers, designers, QA, and stakeholders in that environment, translating operational needs into software while remaining responsive to feedback and changing requirements. It reinforced my appreciation for teams where people communicate openly, take ownership of their work, and understand that reliability comes from the entire development process rather than any single developer.

ReelWorld gave me the opportunity to take increasing ownership of the frontend architecture behind a digital media platform serving broadcast clients around the world.

Over time, my role grew beyond implementing individual features. I became involved in architectural decisions, reusable application patterns, development practices, and the relationship between design and engineering. Working on a long-lived product taught me to think beyond the feature in front of me and consider how today’s decisions would affect the application—and the people working on it—years later.

As our applications grew, I became convinced that some of the technologies and approaches we were using were beginning to limit what we could build efficiently. Rather than simply advocating for change, I created prototypes to demonstrate what a more modern application architecture could look like.

That experimentation helped support ReelWorld’s broader transition away from PHP-heavy applications and AngularJS toward Node.js and Angular, beginning during the early Angular 2 adoption period. It also established a habit I’ve carried with me ever since: when possible, test an idea with working software instead of arguing about it in the abstract.

Performance work at ReelWorld happened at several levels. On the frontend, I introduced bundling and optimization strategies that reduced page-load times by as much as 70%. I also worked on automating parts of the production and deployment process, helping reduce repetitive work and improve delivery efficiency.

Those experiences taught me to look for performance problems beyond individual lines of code. Sometimes the bottleneck is the browser. Sometimes it’s how assets are delivered. Sometimes it’s the process developers have to go through to get their work into production. Improving the whole system often produces greater results than optimizing any one piece in isolation.

ReelWorld brought developers, designers, producers, and other disciplines together around products that evolved continuously. I worked closely across those groups to turn creative and business requirements into software and help deliver regular product releases.

My background in interactive media design proved particularly useful here. I could understand the intent behind a design while also recognizing the technical implications of implementing it. Over time, I became comfortable operating between those worlds—asking questions, identifying potential problems early, and helping turn creative concepts into interfaces that worked well in production.