New Hampshire Ball Bearings
Programmer Analyst
Peterborough, New Hampshire
February 2026 – Present
At New Hampshire Ball Bearings, I work on engineering automation, legacy system modernization, and secure internal AI initiatives. My current role focuses on taking older internal systems and workflows that have become difficult to maintain over time and rebuilding them into cleaner, more modern, easier-to-use tools that align with the company’s current technology stack.
Role Overview
My work at NHBB is centered around improving internal engineering processes by reducing repetitive manual work, modernizing aging systems, and connecting tools that currently require duplicate data entry. A major part of this effort involves rewriting systems that are more than 10 years old so they can better support current business needs, current development practices, and the company’s modern technology environment.
This role fits well with my background because it combines practical software development, automation, modernization, and problem solving. The focus is not just writing new code, but understanding how existing business processes actually work, where friction exists, and how software can remove unnecessary steps while making the system easier for people to use and maintain.
Engineering Automation
NHBB has several engineering workflows where information may be entered manually across multiple systems or applications. I am working on projects that help tie those systems together, reduce duplicated work, and improve the reliability of engineering data moving through internal processes.
The goal is to make repetitive workflows smoother for users while reducing the risk of inconsistent or incorrectly duplicated information.
Legacy System Rewrites
A significant portion of my current work involves rewriting and modernizing systems that are more than a decade old. These systems still support important internal workflows, but they need to be updated to better match the company’s current stack, usability expectations, and long-term maintenance needs.
This includes improving interfaces, restructuring older code, updating workflows, and giving internal tools a cleaner and more modern user experience.
AI-Assisted Design & Modernization
I have been using AI technology and modern design tools to help accelerate early design work, layout planning, interface ideas, and modernization efforts. The AI work connected to this role is focused on internal, controlled business use rather than public or external AI systems.
This builds on the AI experimentation I have done in my home lab while applying it in a professional environment with stronger security, compliance, and data-handling requirements.
Internal AI Infrastructure
I was asked to work with a small internal team to help evaluate and implement an in-house AI solution for company use. This is important because using external AI platforms could create export-control and data-protection concerns. The goal is to provide useful AI capabilities while keeping sensitive company information inside approved internal systems.
This work includes helping think through how local or internally hosted AI tools can support workflows such as documentation, engineering assistance, internal knowledge access, note-taking support, and business process automation without exposing controlled or confidential data to the public internet.
How This Builds on My Previous Experience
My earlier work at C3 Metrics involved maintaining large-scale systems, responding to production issues, modernizing infrastructure, and building practical tools in a fast-moving startup environment. At NHBB, I am applying that same practical engineering approach to a manufacturing and engineering environment where reliability, traceability, and secure handling of information are extremely important.
The common thread is the same: understand the real workflow, identify the bottlenecks, automate what can be automated, modernize what has become difficult to maintain, and build tools that make the people using them more effective.
Current Focus Areas
- Rewriting and modernizing 10+ year old internal systems.
- Improving user interfaces and internal application design.
- Reducing duplicate data entry across engineering workflows.
- Connecting separate tools and processes into more reliable workflows.
- Supporting secure internal AI evaluation and implementation.
- Helping ensure AI use stays compatible with export-control and data-security requirements.
- Applying practical automation and modernization strategies to internal business systems.
Professional Value
This role highlights the same qualities that have defined much of my career: I am comfortable stepping into older systems, learning how they work, identifying where they can be improved, and building practical solutions that make the business more efficient. I enjoy work that requires a mix of software development, systems thinking, automation, user-focused design, and the ability to bridge technical requirements with real operational needs.