I’m a founder and software builder working at the intersection of AI, revenue operations, and lead qualification.
I’m currently building TailyX AI — an AI-powered lead qualification platform that helps businesses identify, qualify, and act on high-intent inbound opportunities.
TailyX combines conversational lead capture, configurable qualification workflows, lead scoring, and agent-accessible APIs.
- Building with Ruby on Rails, Python, PostgreSQL, Redis, Sidekiq, and AI agents
- Chartered accountant with eight years of investment-banking experience
- Interested in AI-native products, agentic systems, revenue operations, and practical applications of machine learning
- MSc research focused on predictive models and operational policies for constrained lead qualification
- TailyX AI — AI-powered inbound lead qualification
- Constrained Lead Qualification Research — research supporting the academic foundations of TailyX
I’m open to collaborating on practical AI products, agentic workflows, and tools that help businesses generate measurable revenue.

