Building futures based on hard-fought pasts.
Born just outside Washington, D.C., Simon grew up surrounded by a clash of technology and nature — NASA satellites overhead, suburban backyards below. His early fascination with how things worked evolved into a lifelong habit of deconstructing systems: first computers, then code, and eventually the complex models behind artificial intelligence.
Starting as a software engineer, Simon built a reputation for thoughtful, well-tested systems that didn’t just run — they *endured*. Test-driven development shaped the way he thought about reliability and precision, turning “what if it breaks?” into “how can it grow?” That mindset carried naturally into the cloud era, where infrastructure-as-code became more than a tool; it became a philosophy. Working across virtual networks and container clusters, he learned how to orchestrate not just machines, but collaboration — deploying software that scaled as gracefully as it performed.
But curiosity doesn’t stay still for long. As machine learning pushed toward the center of modern tech, Simon shifted focus to a discipline that blended art with engineering: artificial intelligence. Where cloud computing had taught efficiency, AI demanded creativity — feature design, ethical modeling, and the delicate balance between automation and understanding. Today, as an AI engineer, Simon still writes code like an architect but dreams like a scientist, building models that interpret, adapt, and occasionally surprise him.
Outside of data pipelines and neural nets, life runs at a different cadence. The hum of Kubernetes pods is replaced by the bark of a small, black, and perpetually mischievous dog — Evey — with whom Simon often plays fetch in quick bursts between debugging sessions. When the sun’s out, he retreats to a shaded patio garden where containers grow herbs, peppers, and the occasional tomato — all protected from the harsh rays he despises almost as much as untested code.
Evenings often end in quiet experiments of a different kind: fermentation. Simon has a talent for turning simple ingredients into slow, living projects — vinegar, sauerkraut, kombucha — culinary ecosystems that evolve over weeks instead of microseconds. There’s something poetic about nurturing microbes by hand after training machines by code: both processes rely on balance, patience, and the art of controlled chaos.
Through every phase — from debugging cloud deployments to tuning transformer models — Simon has stayed grounded in one belief: systems, whether biological, computational, or personal, are all about feedback and growth. That philosophy keeps his work human, his projects alive, and his black dog very, very happy.
Work Terms
Work is performed remotely Monday through Thursday during standard Central U.S. business hours. Communication is primarily asynchronous via typical messaging systems, with synchronous discussions or check-ins conducted by phone as needed. Project work will be structured in milestones, and each approved milestone will be invoiced with payment due on net-7 terms from the date of invoice.