Mitchell MillerDomainSignal
AI-driven domain authority and intelligence platform
Partners
None
Tools & Data
Python, Data APIs, LLMs
Proof
Built a working domain-evaluation prototype using scoring models, targeted data sources, and feedback-loop refinement.
Interview Angle
Use this story when the interviewer cares about scale, execution ownership, cross-functional alignment, or turning messy data into a shipped system.
Problem
Needed better ways to score and aggregate domain intelligence signals.
System & Approach
Scoring models, targeted data sources, and feedback-loop refinement
Execution Pattern
This work required translating search and analytics signals into concrete requirements, aligning stakeholders who owned different parts of the system, and keeping the implementation tied to measurable business outcomes instead of isolated SEO tasks.
Outcome
Built a working domain-evaluation prototype using scoring models, targeted data sources, and feedback-loop refinement.
What this shows hiring managers
Technical curiosity and capability to build full data products.