Translates customer signals into shippable product.
Frame the smallest useful product bet, prototype quickly, and let customer friction guide the next move.
Made investigations faster by using AI to scan evidence, extract key facts, build timelines, and draft investigation reports for human review.
Helped take a large, multi-module enterprise product into Japanese and European markets by making the application work naturally across languages, formats, and regional conventions.
Helped shape a prototype for modernizing a 15-year-old legacy product into a lighter, integrated AI-first platform with a shared data model and semantic layer.
Building a configurable AI-first intake product that lets customers design their own forms, workflows, branding, and reporting experience.
Thoughts on why product judgment matters more when AI can produce code faster.
Read moreA product strategy take on why AI features need prioritization beyond classic scoring models.
Read moreA practical comparison of RICE, ICE, and MoSCoW for product teams making tradeoffs.
Read moreA checklist-style post about using AI to structure product launch readiness work.
Read moreA reminder to define the problem clearly before jumping into solution mode.
Read moreAn article on AI-driven decisions, continuous discovery, ethical AI, and outcome-focused product management.
Read moreFor newer posts and ongoing product notes, follow the latest on LinkedIn.
Open LinkedInA lightweight fitness tracker experiment for logging workouts, routines, and progress.
An AI assistant concept for drafting, refining, and scaling LinkedIn content workflows.
An experimentation harness for wiring prompts, tools, and evaluations into repeatable AI workflows.
A hackathon prototype exploring how AI agents can reduce manual turnaround time.
I use Arunraj's portfolio context to answer recruiter questions. If the facts are not here, I will point you to the human version.