My digital garden built around case studies — not screenshots.
I'm Will, AI Scientist & Backend Engineer focused on building systems that move real business metrics.
Every major decision is documented—because great engineers don't just build things, they explain why.
Read my journeyTraditional health apps rely on 'Snapshot Data'—manual inputs or static charts that the user must interpret. This creates a 'Diagnostic Lag' where damage is only addressed after it manifests. For a Stark-level longevity guardian, the architecture must transition to a 'Bio-Digital Twin' model—a system that maintains a continuous simulation of the user's cellular state and proactively intervenes to optimize performance and halt senescence.
Traditional data architectures rely on a 'Pull-and-Transform' model, where data is fetched from a warehouse, converted into application-level objects (POJOs/Pydantic models), and then serialized into JSON for the client. This triple-handling of data creates massive CPU overhead and latency, making real-time analytics on large datasets nearly impossible without expensive, specialized infrastructure.
"Will is an exceptional engineer who pairs technical brilliance with long-term vision. He doesn’t just solve problems; he builds a knowledge base around them. By documenting the 'why' behind every solution, he’s empowered the team to scale efficiently and effectively eliminated the cycle of repeating past mistakes."
"Working with Will has been a career-defining experience. He didn't just help me meet my goals—he helped me shatter them in half the expected time. His ability to implement innovative scaling strategies completely transformed how I approach my business."
Scaling systems without scaling complexity · Navigating consistency vs. availability · Modernizing legacy models & codebases · Designing durable APIs for ML · Building teams that ship · Turning technical debt into strategic investment · Documenting the "why" for future-you
Tech Stack: Whatever works best as A solution to the problem.
If you need someone to bridge the gap between complex AI research and scalable production architecture, let’s talk.