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 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 are surfaced, and how organizations adopt agentic decision support without losing accountability.
Enterprise AI for Sprint PlanningContinuous & Multimodal Video Retrieval
Exploring compressed spatio-temporal embeddings, multimodal fusion, and retrieval-backed LLM reasoning to make hours of video searchable, explainable, and useful for real-time decision support.
Video-RAG for Continuous Video SearchEdge 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.
Production Edge Agentic AI for Mining SafetyEnterprise 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 how to measure the resulting business impact.
Enterprise AI for Sprint Planning