Research & writing
Research interests
Beyond shipping systems, I'm interested in how AI changes the way teams work and decide. My focus sits at the intersection of agentic systems, multimodal retrieval, edge reliability, and enterprise adoption, grounded in production constraints rather than in benchmarks alone.
Human–AI Collaboration & Workflow Redesign
Studying how AI-assisted planning reshapes product and engineering workflows: where humans stay in the loop, how trade-offs get surfaced, and how organizations adopt agentic decision support without losing accountability.
Enterprise AI for Sprint PlanningContinuous & Multimodal Video Retrieval
Exploring how weeks of video can stay searchable on constrained hardware, and how retrieval-backed reasoning keeps an answer checkable by pointing back at the footage it came from rather than asserting it.
Real-Time Video Intelligence on Edge DevicesEdge AI for Safety-Critical Systems
Investigating how agentic and computer-vision pipelines can run dependably on edge hardware in safety-critical environments, balancing accuracy, latency, energy, and fail-safe behavior.
Real-Time Video Intelligence on Edge DevicesEnterprise AI Adoption
Looking at how enterprises encode goals, constraints, and domain context so AI systems produce decisions that teams can trust, audit, and act on, and at how to measure the business impact that follows.
Enterprise AI for Sprint Planning