I work at the seam where research systems meet product reality — two decades of building the infrastructure that helps people understand what's actually happening inside complex, data-intensive environments.
Most recently Sr. Director of Applied Research & Emerging Technologies at Qlik, where I led a team of ML engineers defining enterprise AI roadmaps. The focus wasn't chasing capability benchmarks — it was building systems that are interpretable, fault-tolerant, and useful to the people who actually run them.
Agentic workflows Currently deep in operationalizing multi-agent systems within enterprise environments — designing the orchestration layer, not just the models.
AI Governance & interpretability Multi-agent systems need to be as legible as they are capable. I design governance frameworks that treat interpretability as an architectural constraint from day one, not a compliance checkbox.
Discovery platforms & research infrastructure Co-invented the Varrier™ auto-stereoscopic display at UIC's Electronic Visualization Lab. Managed 10,000 sq. ft. of research facilities at UCSD's Center for Research in Computing and the Arts. I've built the "make sense of massive datasets" layer more times than I can count.
Distributed real-time systems Background in fault-tolerant architecture from CineGrid 3D 4K and networked telepresence performance — the kind of work where latency and failure modes have to be designed around from the start.
Software is a collaborative environment — my research provides the affordance for human intuition and algorithmic logic to coexist, not just be adjacent. My parallel work as an artist is the same impulse applied differently: materializing the invisible so people can reason about the complex and discover the emergent.
I bridge computer science and new media art. In practice that means I can argue about infrastructure tradeoffs in the morning and explain why they matter to a non-technical stakeholder in the afternoon — without dumbing either conversation down.
Roles at the intersection of AI research, product strategy, and responsible AI adoption — particularly where reliability, interpretability, and governance are treated as first-class engineering concerns alongside capability.
If you're building systems designed to be understood, not just used — let's talk.