Ram N.

Building an AI companion for children focused on AI literacy and human skills. Own product, design, prototyping and engineering end-to-end. Designed and deployed automated data workflows using SQL and APIs to structure chat data, directly informing model refinements that improved reasoning quality. Use direct user feedback and rapid experimentation to shape adaptive conversational experiences.

Built three production AI systems from zero with full ownership of discovery, architecture, engineering, and release. Identified that AI coding agents executing commands during developer fatigue create production risk; built cognitive safety interlock detecting fatigue through behavioral timing patterns and blocking dangerous commands in real time. Discovered user intent signal gaps in dating platforms, checkout flows, and marketplaces; designed and built behavioral intelligence SDK inferring user state from interaction patterns via API. Built real-time voice deepfake detection combining deterministic signal processing with ML classification at ~15ms latency, choosing neurosymbolic approach to meet enterprise compliance requirements. Designed PII detection via vocal acoustics at ~10ms, eliminating ~1.2s transcription-based latency. Shipped deepfake detection as MCP-compatible server for Claude and Cursor; MIT licensed, open source, privacy-first with local-only processing.

Joined founding team to define product direction for an AI-powered creative education platform. Framed core product thesis: AI as augmentation for creative teams, not replacement. Ran structured discovery cycles and prototype-led sprints, accelerating MVP scoping by 30%. Piloted rapid messaging tests across partnership and pricing contexts to tighten go-to-market narrative.

Led multi-workstream consulting projects for impact-led organizations. Designed data-backed donor engagement models improving retention and conversion by approximately 25%.