I build software solutions that people actually use — and actually love. Nearly a decade of turning messy enterprise problems into clean, visible, usable systems.
Specializing in enterprise architecture, R&D innovation platforms, and technical consulting.
Global clients · Fortune 500 experience · Based in Fort Collins, CO.
Three roles across consulting, enterprise tech, and global product delivery — each one adding a new dimension to how I think about building things.
I architected and delivered Mondelez's global R&D technology innovation management platform from the ground up — consolidating a tangle of fragmented, regional processes into a single, reportable system used by teams in 20+ countries. The platform hit the ground running, representing over $9B in net revenue within its first year. My job wasn't just to build it; it was to make people actually believe in it. I led stakeholder demos, user workshops, and continuous delivery initiatives that turned skeptics into champions and drove genuine adoption across the organization.
At 3M I was the connective tissue between business needs and technical execution — partnering with stakeholders to translate ambiguous requirements into concrete, scalable solutions. I standardized development workflows and delivery processes that reduced project risk and made outcomes repeatable. I also led code reviews and deep-dive technical analysis on user-facing issues, helping elevate the team's overall SDLC and shape the prioritization of future work.
My first taste of the enterprise world — and I was thrown in deep. I delivered full software implementations for Fortune 500 clients including General Mills, Lockheed Martin, Raytheon, Honeywell, Sherwin-Williams, and Land O' Lakes. I owned discovery, requirements gathering, project planning, and technical implementation end-to-end. I also developed internal best practices for project risk management that became productized, marketable configuration packages in collaboration with pre-sales.
Neural networks, classification algorithms, and genome-scale datasets — long before "AI" became everyone's buzzword. This is where it started.
In 2016, I was recognized by the National Center for Women & Information Technology (NCWIT) for my work as a software development intern in a biotechnology lab. My project used machine learning algorithms to accelerate the detection of unusual patterns in human genome sequences — specifically targeting early cancer markers — in partnership with an mRNA sequencing lab. Working with genomic datasets meant dealing with some of the most massive, complex data structures in existence... us!
"All we have to decide is what to do with the time that is given us." ― J.R.R. Tolkien
I'm a Colorado-based enterprise solutions architect who's been building things since before "building things" was my job title. My entry point into tech was using machine learning to detect cancer markers in genomic data as a teenager — which set the tone for how I approach every problem since: find the pattern, understand the system, make it useful.
I could be described as a modern-day Renaissance woman. And not just because I love the renaissance faire! I thrive on learning new things — whether that's picking up a new instrument, mastering a sewing technique, or diving into a new technology. If there's a puzzle to solve or a skill to acquire, I'm in. I believe the same curiosity that drives me to build and create outside of work is exactly what makes me better at it — I bring that same energy to every problem I sit down with professionally.
Whether you're evaluating a platform, rethinking a process, or looking for someone who can sit at the table with both your engineers and your executives — I'd love to talk.